From Molecules to Medicine Natasa Nadoveza on Quantum Chemistry

Welcome to a new episode of Impact Quantum! In today’s show, host Frank La Vigne and co-host Candice Gillhoolley dive deep into the fascinating world of quantum chemistry with special guest Natasa Nadoveza, who recently completed her PhD in this cutting-edge field. Together, they unpack what nuclear quantum dynamics is, explore its significance in understanding molecular processes, and discuss how quantum-level simulation could revolutionize industries ranging from medicine and drug discovery to energy and materials science.

Throughout the conversation, you’ll hear about the very real challenges of translating theoretical breakthroughs into practical tools, especially when it comes to scaling simulations beyond simple molecules. Natasa Nadoveza shares her journey from chemistry student to quantum researcher, and reveals some of the surprising quirks and behaviors of molecules when you look at them through a quantum lens.

Whether you’re quantum-curious or a science enthusiast, this episode will ignite your imagination with stories about catalytic processes, energy transfer, and even the quantum mysteries behind everyday things like color, smell, and photosynthesis. If you’ve ever wondered what it takes to run a multi-step simulation on a supercomputer, or how science—especially quantum science—continues to challenge our understanding of the world, you’ll find plenty to geek out over in this illuminating discussion!

Time Stamps

00:00 “Impact Quantum: Quantum Chemistry Insights”

05:22 “Methane Study Challenges in Theory”

07:45 Quantum Effects and Drug Discovery

11:44 “Catalysts: Reducing Energy Barriers”

14:46 Molecular Bond Simulation Insights

18:31 Quantized Energy in Molecules

24:01 Quantum Effects and Everyday Relevance

25:16 Quantum Chemistry and Reactivity Essentials

29:24 Heat and Electrical Conductivity Explained

31:37 “Challenges of Running Simulations”

36:30 “Challenges in Intuitively Learning Quantum”

39:44 “Data Compression Challenges in Simulation”

42:19 “Exploring Industry vs. Academia”

Transcript
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Hello, and welcome back to Impact Quantum. And your ears do not

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deceive you. I am not Bailey. Bailey is on holiday because, yes,

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even AI agents need to take a break. Down this episode,

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we get into some very interesting discussions around

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quantum chemistry and its implications for medicine, science,

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and, well, just about everything. So I also get to

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geek out because at one point in the past, I was a chemical engineering major,

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so brought back a lot of memories. So here's the

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show, and no dubstep this time. Hello, and welcome back to

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Impact Quantum, the podcast. We explore the emerging field of quantum

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computing, where you don't need to be a PhD in physics,

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but it probably helps. You just need to be a little curious. Right. And the

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most quantum curious person I know, and maybe even the most curious person I know

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is with me. Candice. How's it going, Candace? It's great. Thank you so

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much. The sky is blue. The sun is shining. It's just going to be a

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beautiful day today. I'm very excited. Nice, nice. We're recording this as I'm on the

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west coast for Microsoft Ignite. And it

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is. I can. I can smell the. The fresh Pacific air,

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and it's about 20 degrees warmer than it is at home. So all

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the locals are saying how cold it is, but I'm loving it. You see, it's.

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It all depends on where you come from. Right? It's all relative. Exactly.

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So today we are lucky enough to be speaking with

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Natasha Nadavisa. I definitely mispronounce

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the last name. I apologize. And she is involved

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in nuclear quantum dynamics. Hi,

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Natasha. How are you today? Hi. I'm really good. Thank

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you for inviting me. Cool. So

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the obvious question is, what exactly is computational

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and quantum chemistry and what does nuclear physics have to do

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with it? Because most people. I think I know the answer, but most people, when

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they think of nuclear physics, they think, you know, nuclear reactors, nuclear weapons, that sort

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of thing. Yeah, well, I mean, that's also what

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is nuclear physics. But in this case, with nuclear quantum dynamics,

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we usually refer to. Well, first, quantum dynamics. It's

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basically the study of systems which evolve in time.

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Ergo, dynamics following the quantum

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laws. So basically, we are solving the equations of motions which are

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derived from quantum dynamics, from quantum mechanics. And

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the nuclear is just to say that we are following, in this case, the motion

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of nuclei. So in my particular project, we are

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working on studying chemical reactivity. So we are

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studying how the bond in the molecule will break, but we

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are following the motion during this process of the nuclei.

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Interesting. And I. Can those be Used to do copied

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computations.

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Well, I mean in, in this case we are using still the classical

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computers to do quantum dynamics. Whether or

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not it can be done on the quantum computers, if that is

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your question, that is one of, probably one of the most

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promising applications. But I don't really know much about

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that particular field. So it is

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as far as I know, it is still under the development.

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That's cool. When we were preparing for the call, you had mentioned to me

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that you had recently completed your PhD work. Congratulations on

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that. That's a very big deal. I'm very

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curious at what moment early in your,

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I want to say in your education, once you hit university, at what moment

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did you realize that this was the field that you wanted to commit yourself

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to? Well, I guess

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that was at the end of my master studies because in principle I have

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a background in chemistry, so I was always interested in

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how we can understand the world around us at the molecular level.

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I kind of very naively thought back then that we can understand everything

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if we understand the behavior of molecules. Now

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it's not really everything, but it is still quite a lot.

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And as I had a background in experimental chemistry, in

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principle of organic chemistry, biochemistry, synthesis and

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analysis. When I first started learning about

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the quantum mechanics, which was quite late in my studies when

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I got into this field, I realized that in principle, if we

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can do this kind of calculations, we can follow the behavior of

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molecules and it's very nature and it's very core. And

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that was kind of like the more underlying level of if we understand

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how this very basic behavior influences the molecules and we can

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understand how the molecules difference is much more bigger processes

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and then we kind of can do this stepwise understanding of

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different phenomena. And that's when I got interested

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into this in this particular field of quantum dynamics.

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And I. Well,

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you work at the intersection of this deep theoretical

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chemistry and I want to

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think about real world applications. What do you think is the

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biggest challenge in translating quantum level

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simulations into deployable

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industrial tools? Well,

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the thing is that I would say the biggest challenge that we are

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facing is the size of the system which we can study at this level of

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theory. In my particular case, I was working in a very small

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molecule, methane, which is basically the smallest possible

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carbohydrate that you can have. And we were studying the breakage of a CH bond

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in that molecule. And even when you have a very, very small system,

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it can, it can get very computationally difficult because there is a lot of

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parameters to take into account if you want to have this very high level of

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theory. And on the one hand there is

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importance because if we can understand on such level

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how the energy is flowing through the system, how the energy is actually being

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used, then it can have a very important industrial application because this,

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this particular reaction is still the main route to produce

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hydrogen. And then if we could understand better how to control this

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process with much smaller input of energy and the much smaller

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cost of the process, we could actually have much

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bigger gain. But the problem is, in order to understand this on such

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a high level of theory, we can work on a very small system.

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Because if we would want to increase the size of the system, if you would

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want to, let's say if you have a metal as a catalyst,

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it also affects the process, but if it wants to take into account also movement

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of these atoms, the system would grow exponentially and it wouldn't really be

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doable anymore. So there is always this balance in between

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how accurate answer we want and how big of a

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question we can ask to get that accuracy.

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And that has been what they say is classically

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intractable problems in computer science. And this is the idea

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that quantum computers are able to

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address those problems more effectively. Not all problems, but just some

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problems. Unfortunately the, some of them, some of those

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problems are really important. Whether it's, you know, chemistry, kind of

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everything we experience in life has something to do with chemistry. Right?

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Ourselves has to do with chemistry. What do

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you, you know, what is

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the potential here for drug discovery and like

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side effect mitigation and things like that? Like, is that one of

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the top

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advantages of this technology, you could simulate that?

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Well, in principle, I would say if

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you talk about the accuracy, then also we need to take into account, as I

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mentioned, the size of the system. Because if the system is quite big, then

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these quantum effects might not play such a significant role. So when it comes

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to drug discovery, if you're talking about the molecular processes, when we have, for

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example, let's say we have this

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specific part of the enzyme, which I'm pretty sure your

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future guest will explain much better. But if we have something which can

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be, let's say presented with the, on a much smaller scale,

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then these effects might be much more relevant, obviously. But

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if you say, if you talk the,

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as you mentioned, the side effects of the drugs, now if we talk about,

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I would say again, it's not really my field, but I would imagine the side

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effect might have to react on a much bigger scale

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because side effects would be, we don't really know where it will be. It could

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be Affecting some of different organs. So then we would need to take

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human organism as a bigger, let's say the,

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the hole. And I probably wouldn't have so emphasized

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molecular effects. But still this kind of simulations I

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think could be still improved by the quantum computing because

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it doesn't necessarily need to be on the molecular, on the molecular level.

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It can also be for different kinds of simulations, can be

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sped up and different kind of simulations have different problems in terms of

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computational efficiency. Interesting.

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So if you could, you know, pick a problem,

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what is there like an unsolved problem that keeps you up

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at night where you say I really hope one day to explore

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or help answer. Is

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there any type of problem like that that you could, you could mention?

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Well, one of the things that I find very interesting is that usually when we

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talk about quantum dynamics, we either study the movement of

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electrons or as a chemist in a chemistry or the movement of

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nuclei. But what I think it would be very interesting if we

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could study, let's say the chemical activity by following all of those

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elements, if they would all move at the same time. Now this is something which

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is computationally very difficult and I don't know if there

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is any potential of it actually being possible anytime soon,

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but I feel like if that would be possible, it would be really amazing because

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then we could gain much better insight into for example, chemical activity or

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molecular behavior on a much more

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accurate, in much more accurate way.

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Interesting. But it's not just medicine, right? I mean

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we could create better fuels, better batteries. Right. There's

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all sorts of potential here. Does any one of

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those in particular interest you?

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Well, I would say I'm the most interested in

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biological or medical applications, but as you mentioned,

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in principle most of the things are in the end chemical. For example, if we

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want to talk about reducing the, the co emission

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then I, as far as I know there are, there's a lot of research where

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how this can be captured or converted into something

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or how the fuels are going to be burned or a lot of those processes

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in the end. Or lots of catalytic catalysis.

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Catalysis and a lot of different reactions in

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a lot of processes are actually depending on the chemistry.

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So you mentioned catalytic and catalysis, which oddly enough,

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that's a harder word. Catalytic is easier to say.

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I actually, fun fact, started my college career to be a chemical

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engineer, but I switched to computer science and

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I think, I think I remember. But could you explain what catalytic

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processes are for those who are not chemistry aware? Not

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that I'm chemistry aware, I just, I hear the terms, I'm like, oh, I remember

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that talk. Yeah, yeah, I remember that. So what exactly is catalytic?

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Well, in principle in chemistry, when you have a chemical reaction, it will involve,

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let's say, the breakage of a certain bond. Now in order to break a bond,

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you have an energy of activation. You need to give some energy to the system

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in order for this bond to be broken. Now the catalytic

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process is usually some third party, let's say, which is participating

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in this chemical reaction and it just serves to reduce this

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energy barrier. So it's in this sense helping the chemical

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reaction, in a sense that you don't need to put that much of energy to

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break, let's say, a bond. But this activation will be much

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lower. And a lot of processes

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that are important could be quite expensive by, without a catalyst or even

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not possible. Which is why there is always a need to

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investigate which kind of material will be most efficient in this.

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Yeah, that makes sense. Most people I think, know that word catalytic from their

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cars and catalytic converters. Yeah, I'm not really sure

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what that is. Oh, it's something that they put on. I don't know

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exactly what it does, but it meant to clean the emissions. And it's basically

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when the exhaust pipe goes through, it goes

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through the muffler to reduce the sound. But it also goes in called a catalytic

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converter to scrub some of the particles from it or break

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down some of the bonds. So it's not as the emission is not as toxic.

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I'm sure someone will tell us in the comments, Candice, exactly what a catalytic converter

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does. But yeah, I had mine stolen off my car

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when I. And they tend to get stolen a lot because I think historically

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they, they use platinum in them.

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So they were inherently expensive. They used to be like a couple of thousands of

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dollars to fix or replace. But I think they've changed

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the formula. So it's. If you get it on newer cars, they're

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not, they're not made of as expensive material and as a result the

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thefts are not as important. So typically, yeah, but I think about

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5, 10 years old cars will start having the platinum in them.

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So we've talked a lot about chemical reactions,

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we've talked about enzymes. I'm wondering if you could explain

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just at the very base, basic level, what

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happens during a chemical reaction to someone who's never

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taken any chemistry and doesn't really understand it. How can

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you describe it? Okay, well, the first thing that

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one needs to understand is that there is a molecule, right. And the molecule

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contains different atoms. And these atoms are

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bonded in a certain way. Now the chemical reaction in principle means that

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some of these bonds will be broken and some new bonds might be created.

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So the structure of the molecule itself will change. That's

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the. Let's say that in the most basic way

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that's fair. So let me ask you, so in

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what are you looking for when, what does quantum

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mean in the context of chemistry? Are you, are you like expecting

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like molecules to be dancing around or interacting? Like, what are

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you looking for when you're running these kind of simulations?

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But depends on the kind of simulation. If you're looking at this, for

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example, what I was working on with the chemical reactivity,

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what we have there is that we wanted to study what is the probability

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of a bond being broken. Now there is a lot of experiments that are done

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and now the experiments are getting very advanced in

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one can prepare actually a quite precise quantum state of a molecule.

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Now the quantum state we, as you said, the molecule,

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in this case, if we talk as a single molecule, which probably will be

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single, but the, the, all of the bonds are vibrating. The

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molecule is also rotating a bit, as you said, it's like dancing around. And

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then if they are all dancing at the same, with the same energy in the

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same way, we say it's the same quantum state. And

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then. Okay, sorry, go ahead. No,

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no, go ahead. I had a light bulb moment. So like I.

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Okay, it's good, it's good, it's good, right? Things are making sense, you know?

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Yeah. So. So the experiment would be depending on what

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kind of quantum state we prepare, how is the chemical reaction going to go?

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What is the. The goal is always if we want bonds to break, then

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the goal is to prepare such a state so that the probability of bond breaking

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is the highest possible. Right. So in this sense, when

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we do this simulation, that is exactly kind of what

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we do. We try to follow the evolution of a

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molecule of a specific state. And in the theory, we can

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prepare this specific state much easier than experiment. Because in experiment you have a

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lot of molecules and then there is a quite complicated apparatus to prepare

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it in a quite uniform state. And it's not going to be quite.

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It's not going to be exactly uniform. But if there could be as close as

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possible, then we can. Experiment is more. More precise.

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But in theory we can much easier than which was one

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single state and just see how the molecule will

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evolve going from there. So now

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I kind of forgot about your question. But the point of the simulation in this

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sense would be to See, what are the different

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effects that are affecting the probability of this bond being

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broken? And the reason why we need quantum

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effects here, it's not only necessarily that there might be some quantum effect.

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Now, the most famous one is tunneling. And of course, when you're breaking a CH

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bond, where you have a hydrogen and carbon, the hydrogen is

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quite small, it's quite light, and it can have the tunneling, meaning that as

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I mentioned earlier, there is this activation energy. And this

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molecule, this atom doesn't really need to go through this whole barrier. It

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can go. It can tunnel through it. So the reaction can happen at the lower

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energy than it would, which is one of the

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quantum effects, but which. Could save a lot of money in energy

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consumption if you needed. If you figured out how those. Those tunneling effects

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work. Okay, that makes sense to me now. Sorry.

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Two. Two light bulb moments. Two light bulb moments

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after. After a very long, exhausting week. That's good. My brain does still work.

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Okay. So. But what I wanted to say, it's not only about the quantum effect.

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It's also that if you want to understand, even without the quantum effects, even without

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the tunneling, he wants to understand how exactly this process is going.

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It's much better if we could study it, if you could apply the

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mathematical equations, the models, that actually corresponds to the nature of

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our system, which is why we do quantum dynamics in this case,

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because the way the atoms are behaving in the molecules,

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they're following this. They're not following the classical laws of physics.

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Okay. And to that point, what's something surprising that you've

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learned about how the molecules behave that most people

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would never guess?

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Most surprising way. Well, I would say one of the

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surprising way is that the way the molecules use the

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energy. Because I think that's.

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I think that's what surprises the people is that the levels are quantized,

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which means that the molecule cannot be in. If

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you talk, for example, about the vibration of a bond, right? So

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if you have, let's say I have two balls and they are

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vibrating, they could be vibrating in any different way. But if you go to

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the quantum level, then not every. There is. Not every state

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is, let's say, possible because the states are quantized. So it can be in

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one quantum state or it can be in another. But what is in between

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is just there isn't the state in between. It's kind of like, I

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remember learning this when I was a young lad,

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or at least a younger lad, that it's kind of like

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steps and stairs, right? You You. You

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really can't be in between the steps, Right. You

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know, you have. You can't stand in between the steps. Right. You can.

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You know that. That analogy works better. Right. So, you know, kind of all those

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states in. In between the. The. The individual,

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I think electrons, I don't know if it applies to other

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particles, too, can only be in certain orbits in certain. Certain places.

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So that is one of the, for me, I thought was one of the great

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mysteries, like. Well, you know, in our physical world. Right. Like, you know, when I'm

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going up the stairs, I exist at some point and every

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level there. But at the quantum level, it almost like, for lack of

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better term, pixelates, you know? Yeah,

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that's what people say, that the levels and the general state, they're like

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quantized. So they are there. There are specific. I mean, there are

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states, but they aren't continuous.

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That blew my mind when I heard that. Still

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does.

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This stuff is so fascinating to me. What do you think people misunderstand.

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Misunderstand most about chemical reactions, how

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they actually work in nature?

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Well, I'm not quite sure if people actually think about

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chemical reactions.

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I. I haven't encountered many misconceptions.

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So I don't know, maybe you can tell me what you think about chemical reaction

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and I can tell you if it's a misconception or not.

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Well, we keep on going back to photosynthesis and quantum

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tunneling, and that is just not something

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I ever thought about photosynthesis as something

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that was quantum. But then how, you know, the light is

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reacting and the changing of the molecules and creating these. These

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chemical reactions, I found that to be incredibly fascinating. It's

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not something I saw in the first

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place, is that. So that was something that had

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surprised me. And the other thing, too, that I really respect about plants,

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which sounds like a weird statement, is the fact that they are

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little. Every leaf is a little solar panel. But they've also figured out

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the energy storage mechanism, right? So they store

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it basically as sugars or some kind of sugar. Right. And

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that can be, you know, metabolized later or burned later, depending on what

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words you want to use. I think that's amazing because the biggest problem,

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I think, with solar panel or renewables today is the energy storage.

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And, you know, right now, I think most people think of those

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as separate things. Solar panels, right? You can. You can slap a solar panel on

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anything, but you don't get the most use out of it

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unless you find a way to store that energy. And pushing that energy

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into the grid has A lot of other logistical problems for the power

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company. So it's not, I think if I

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had to answer the question, what is the most

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common misconception? It's people don't understand that

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these things are complicated. Right. These things have connections. Right. So

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most people, you know, we'll say, well, we'll just put solar panels in every month,

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everything. Well, that's great. But when the sun is out, you're generating a lot of

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power and that disrupts kind of how the grid can kind of

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adjust the power levels and things like that. So it's not as simple as just

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slap on a solar panel. Right. You have to find a way to store that

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energy for later. Plus it. The sun never shines at night. Right. So

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unless you're in a north pole or south pole. But

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you know, for the most part, I think, I think people don't understand. I think

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it kind of is like kind of what you said. Right. People don't think about

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this. Right. And chemistry is literally involved in

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everything we do. Yeah.

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But in principle, a lot of this research in like let's

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say this artificial photosynthesis or solar panels is actually inspired by

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nature. Because you said nature usually figures the most elegant way to, to

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do, well, basically everything that we could possibly think of.

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So the only matter is trying to understand how it actually works in nature. What

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are the. How the nature regulated and solve these and then

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to try to somehow recreate our own solution and to try to adapt it

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to what we need to do it for.

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That's interesting. Where do you think quantum effects matter most in

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our real lives? That in our bodies, in materials,

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in energy or something else? What do you think?

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Yeah, that's the question I get a lot when I tell people what I'm working

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on, because my thesis was about the quantum effects in this. And then people

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are like, but what are quantum effects? And like, are they any relevant? Because

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usually people think about the quantum. They think about the very,

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let's say electrons and atoms. And that doesn't seem to be very

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relevant to the world we are living in because it's just so much smaller

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and we cannot really see, we cannot interact with it. But I would

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say in principle that could play probably a very

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significant role in a lot of processes.

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If we go to elementary level, like

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for example, the way we see things or the way our

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senses work or, well, in principle,

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chemical reactions, is that, say, probably the, the most obvious one.

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But a lot of those things, even though they are on

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the very, let's say small level, they could still have effect on

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much bigger scale. Okay,

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so can you explain to me why in quantum. Can quantum

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chemistry explain and help me understand why certain

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reactions happen quickly while others barely happen at all?

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Oh, well, probably. I mean, it's

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kind of. Well, actually for the. With the quantum chemistry, people

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usually refer to, let's say, calculating electronic structure, which is basically

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calculating the energy of a given structure of a molecule.

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So I don't know if that first, if there is an approach

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that would be applied directly to reactivity. But this is extremely important

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because if you want to understand how usually in

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chemical reaction, as you mentioned, whether it will happen or not, it can depend

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on many different things. But the main things are depending on the energy, how does

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the energy flow, how does the energy change if you're going from one

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state to another? And then if you want to understand how these things are

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happening, then you would have to know exactly at this state, what exactly

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is the energy? Because sometimes differences could be not that, not

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that big. And especially if you have different competing reactions.

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For example, if you have a lot of different

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processes that would go at the same time, then the question is, well, which

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one will go faster and which one will go. Which one will be

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energetically more. More favorable. So for all of those

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questions, one would need to have a quite precise calculations.

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And that's where the quantum chemistry can play a role.

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Interesting. What is

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an enzyme? Because I

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remember the answer, and there were things that always bothered me

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about how they work. But what is an enzyme, basically?

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I mean, as much as I probably remember, as much as you do from. The

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biology class, I'm sure you remember.

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As far as I remember, enzyme is in principle, in biology, doing what

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the catalyst is doing in, well,

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chemical reactions, which are not biological. So it is helping chemical reactions.

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It is the kind of participating. Participate in the reactions

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too, right? That was the thing that blew my mind. Like, they, they. That's what

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I remember that blew my mind was like, well, they're involved, they make things

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easier. They lower the energy state. Again, I guess going back to what you said,

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right? Nature always finds out a pretty elegant way, right? My favorite line

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from Jurassic park, the, the original was, life finds a way,

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right? No, like. And that blew my mind

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because it seems like it almost seemed. And I know it

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doesn't because it can't. Like, it almost seems like it violates the,

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like, thermodynamics because it's like it lowers the energy

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state. It doesn't participate. I don't know. That's the part that always blew my

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Mind. Right. Like, I don't want to go down too far in this rabbit hole,

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but, you know, I don't talk to chemistry PhDs very often. So

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like, I always, you know, and there was a previous show we had where I

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was like, you know, lasers were finally explained in a reasonable

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way. And I was so excited about that. Like. But anyway.

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So how does quantum chemistry

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change your understanding of everyday things in life, like

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color, smell, light?

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Well, I mean, quantum chemistry is very broad field,

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so it, it can be

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applied to, to different, let's say, aspects of our

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life. But I don't know if

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we could, if. If it's enough to use only quantum chemistry and to use

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only that kind of study to change the things that you

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mentioned about the smell or the how the

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baby. See, I think there's much more processes involved there, and I would

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say it does certain contribution, but I don't think that

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it actually solves. It provides the full answer to

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something, you know, so big as a.

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Such a. About the questions which depend on so many different

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processes.

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Fascinating. All this is just fascinating, right? I mean, like,

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you know, people. People think

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science is boring. A lot of people. Not all people. No one on this call,

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obviously. Right. But like, it's just so

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fascinating. Like, you know, there's just so much

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to it that can explain so many things. You know, the thing that when I

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was a kid I learned that just blew my mind was things

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that are good heat insulators tend to be good electrical

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insulators. And things that are conduct heat pretty well tend to be very

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good electrical conductors too. Right. Like, so the idea that glass can

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kind of, you know, be like a. Doesn't transfer

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temperature very easily, but metal does, right? So, you know,

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I don't know. For me, like, that was the thing that was like, well, why

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is that? Like, and you start pulling at the threads. And you start pulling at

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the threads and you get. Ultimately you get down to the molecular level of like,

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why that is. Right? And I guess, you know, now you can go down to

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the submolecular level of like. Well, why is that? Right.

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It's just. It's just one of those things where,

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yeah, I'm like, it's a cool field. Like, it's not.

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It's not for the timid, that's for sure. Because there's a lot of. There's a

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lot of everything. There's a lot of math, there's a lot of rules to memorize,

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but there's a lot to it. But like, you know, I feel like once you

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kind of get a sense of like,

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you know, chemistry. You can understand a lot more things. Like

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it's kind of like it really is at that bridge of. It's like a junction

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box, so to speak. Right. Of physics, biology and

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yeah, I guess quantum physics too, right. Like it all touches on that.

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Yeah. But as I said, it's like what is the most

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fascinating for me in this field is that it's never like

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one study or one approach that provides some very

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significant answer. It's usually a very complex interplay of different

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research groups working on something on different people from different background. It's

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like a lot of small inputs about something, A lot of looking at the same

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problem from a lot of different perspective, asking different questions which are

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sometimes complementary. And then in the end we kind of

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build a picture and try and manage to explain some phenomena

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which are in the world around us.

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Very cool. Have you ever run a simulation that

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completely challenged your assumptions?

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Usually the simulations that I was running had so many technical

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issues that it's not like you run a

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simulation, you ask a question, you run a simulation, you get the answer and then

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you're mind blown how cool this answer is. It's mainly like the simulation

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fails and then you have to figure out why did it fail and

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then you kind of try to figure out at what

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moment. Because especially in the simulations that are multi step, so you

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have to do one calculation, then the other, then the other. Then there

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is also freezer group, as I said, involved. And then when you put it in

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the end you get the result and then you can you try to analyze this

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result and then it's usually trying to understand whether if it's

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meaningful physically or was it some numerical artifact

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or. So I would say it's. Most of the work is

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actually trying to debug things or trying to understand what

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was some issue that didn't work well, that affected

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everything. Let's say it's a quite challenging field,

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especially in some situations where it's not that easy to

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compare with experiment. Because when we talk about this particular

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field that I worked on, there is a lot of experiments. But the

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thing is that the conditions of the experiment and the theoretical model are quite

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different. And then there's all different theoretical models, but they all have

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different assumptions and they are like, you know, they're just

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not the same. They're always. There's always

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something which we cannot. If you compare them and we get the same result, we

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can be quite. It's quite suspicious because you don't expect them

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to be the same. So in that sense, it could be quite challenging

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to. Sometimes, at least in my

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project, it could be quite challenging to understand if

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the model worked well or was there some numerical

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artifact or some instability. And then there is a lot of testing

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and a lot of changes and a lot of kind of, you know,

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computational work just to try to see if the results are meaningful or

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not. In the end. Is

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there actually a. I'm sorry. Go ahead, Frank. No, no. I think it's all fascinating.

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It's all good. Sorry, I was just curious. Is there a quantum concept out

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there that still feels kind of mysterious or. Or hard to wrap your

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head around? Yeah, most of them,

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for me. No, I mean, we laugh, but, like, that's important, right?

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You're obviously very accomplished. You're very smart. Right. You just got your PhD.

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Congratulations, by the way. If

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you find it hard, people who are regular

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civilians shouldn't feel bad about it being

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difficult. That's kind of. I see that as a positive. Right. I see

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that as a positive sign. I think if you think about

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it as a whole, it's complicated to everyone. I don't know if there is

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someone who can say, okay, I understand everything. Maybe there are people who

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are more experienced in these domains, but I would say it's

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so broad, and usually people tend to focus on something

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smaller. As I said, I worked on this specific project and I

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gained some expertise and knowledge in this specific project. But I would say the most

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important thing is, just, as you mentioned, to be curious, because you will probably never

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understand everything. And especially if you decide to do research, you will

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work on the things that you don't know how to do because they just. No

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one knows how to do them. And then in the end, of

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course, you will learn along the way and you adapt.

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But one shouldn't be scared of not knowing things. It's

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completely normal. Also, it would be boring if you would know everything already.

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And I was just thinking, you're not going to do research in the stuff that

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people already know. Right. Or that you already know. Right. Like, it's a.

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It's one of those things where by definition, it is by definition, a

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you're not going to know. And even Richard Feinman, who is

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legendary, said, if you think you understand quantum mechanics, you don't

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understand the quantum mechanics. Right. It is. It is something that,

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until someone can explain all the weirdness, makes no logical

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sense to our, you know, our

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part to our world. Right. Like, you know. And that's an interesting question. Right. So,

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you know, you think about like the world humans occupy, right. Our day

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to day, you know, and there's things bigger than

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us, right. There's a fancy word for all these things. I forget what it was,

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was. But basically there's like planet size things,

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solar, galaxy sized things. Right.

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It's all underlying the same laws of physics, we think. Right,

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but like those will behave differently than, you know, me tossing a baseball, you

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know, down the road or whatever.

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And at the subatomic scale, like those rules are a little different too.

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Right. Like it's a different game. And you know, our brains evolve to

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understand this level of reality. Right. So it's kind of like may not

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things. May things don't have to make sense for them to be true is basically

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what I was trying to say. Yeah. And I could say that's probably one

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of also the main problems in this domain is that we are kind of used

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to learning things intuitively, especially when it comes to physics.

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Everyone understands the forces because everyone was pushed at some point in their life.

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So we kind of can grasp these concepts without much of

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mathematics because we are just experiencing it in everyday life. But when it comes

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to quantum, those laws are quite different. And then if people try to

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understand it intuitively, they could either misunderstand it or they could

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just get super confused. Especially if you try to visualize something, it's like just,

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it's just too difficult to visualize things. So. And

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that's probably creating a lot of friction if people start to like,

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let's just say and just get acquaintance

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or learn this field because it's just, it

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doesn't work as other sciences do when they can do things

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intuitively. So is

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there something in nature, a smell, a color,

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a biological process, a flame, that makes

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you think this is quantum chemistry in action?

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I think there is a. But then again, it's

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in again, if we go on the very end of the process when we

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perceive things, when the light hits the, the eye, I think

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in the very end there is a sort of isomerization of one molecule.

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And that, as far as I know, is one of the examples of

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quantum processes which are kind of key process or at

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least one of the key processes in the way that we can actually see the

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world around us. Okay,

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very cool. I'm

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sorry, go ahead. Oh, go ahead. I'll say if you could describe quantum chemistry

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using a metaphor from art or music or

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any metaphor, what would it be?

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Quantum chemistry. That's an interesting

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question.

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Well, I mean, I would say quantum chemistry

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as such would be, I don't know how to explain the. The

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whole field. But let's say if we focus

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on. Perhaps if you focus

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on quantum dynamics. But I still. I don't know. I mean, I would have to

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think about it a bit. A bit longer. That's fair. Okay.

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We don't want to put you on the spot. Yeah, yeah. It's. I mean, there's

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so much. I mean, it's. I can see why you would like this field or

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anyone would like this. Feel like there's just so much. There's just so much

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to think about and so much to. To research. Right.

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Mm. There's so many problems to solve.

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Right. I mean, and this just seems so

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exciting, you know, Quantum chemistry, quantum biology, like,

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you know, Frank, I'm obsessed. Oh, yeah, absolutely. I. I

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just. There's just so many questions that I have that I want to understand.

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So, you know, what's like a. What's like a

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typical day for you, like when you're studying quantum

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chemistry and what it. What does a day look like for you?

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Well, I would say the main problem in the domain was

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how to express the data efficiently because this kind

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of simulations are usually. One needs a huge amount of

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data. And we were working a lot with the tensor networks, with

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the tensor methods, really, and trying to do kind of tensor

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decompositions and try to kind of compress the data. But

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then the problem is that when you compress the data, we also kind of lose

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the accuracy. We might. So most of the typical

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day, it kind of depends on which stage of the project it was

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and what kind of the problem we are working on. But I would say the

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typical day would be trying to understand why something failed and

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how to make it work. Interesting.

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Interesting. No, it's all very fascinating. And tensors. Right.

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So let's talk about that. Tensors are very popular in the AI field, which is

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what I do currently for my day job. They are also

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something that a lot of hardware companies are

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optimizing for. Do you. Do

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you. What do you, you know, when you're doing research or doing anything

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computational, do you use GPUs, do you use kind of cloud or

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is you. You focus more on kind of like the. The actual

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chemistry and the beakers and the pouring of stuff?

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Well, I was using mainly the supercomputers, so

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it's. Yeah. In front, there are a couple of

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supercomputers which are kind of of a different level.

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Some of them belong to university, some of them are national. So most of the.

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These kind of simulations are happening there. I didn't work with the GPUs myself,

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although there are also available. But in

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principle for this kind of simulation, of course one cannot run it

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on a local computer. So one needs to have some more

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computational infrastructure which can support such kind of calculations.

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Right. Not just a really good gamer PC card. You

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need one of those supercomputers. That's interesting.

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What's next for you? I see we're coming close to top of the hour, so

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I want to be respectful of your time. What's next for you? Like what, what

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are you doing now? You just got your PhD. You know, they used to be.

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Candace, you remember these like the, you just won the Super Bowl. What

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are you going to do next? I'm going to Disney World. Going to Disneyland. But

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yeah, that was like these commercials, they stopped that about 15

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years ago. So I don't know if anyone else remembers it, but. So like, what's

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next for you? You just were. We're in the stadium and I go to you

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and I say, you just got your PhD. What do you do now?

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Well, I put a lot of thought in what I want to do next. And

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in principle I'm explor options in industry

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because I kind of trying to decide what kind of research would I like

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to do because I would like to still continue doing a research. And then there's

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this big question between research in industry and research in private, in, in

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academia. What are the differences? What are the similarities?

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And I would say I kind of found that

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I would prefer to focus now on

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more applied other. I wouldn't say more applied is a correct term,

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but let's say more of application of a research to building something that

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can actually be tangible and that can, you know, end up being

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some sort of a product and have some impact which is more visible now

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and not a bit less visionary than it is in academia.

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So at the moment, yeah, I'm exploring different options and

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following the trends which are currently. But what is going

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on in the, in the research and private sector.

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Very cool.

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This has been absolutely fascinating. I'm really happy that we had you on as a

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guest and I'm even. Happier that we recorded it this time.

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No, we can't, we can't keep going back. That was a terrible mistake.

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Thank you so much for inviting me. It was really nice to talk to you.

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Where can folks find out more about you and what you're up to? Do you

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have a website? Do you have LinkedIn or research? Okay, I

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have a LinkedIn. Yeah, I thought about creating a website, but I kind of

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never got around to do that, but I would say the LinkedIn would be the.

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The best place someone wants to connect or to just discuss

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a bit more about whatever science that would be the

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best place, I would say.

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