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Welcome to another episode of the Kronos Fusion

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Energy Podcast. I am Priyanka Ford, the founder

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of Kronos Fusion Energy, and today we have an

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extraordinary guest with us, Carl Wegel. My mentor,

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founding partner at Kronos, and the lead designer

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of our patented Kronos Smart Fusion Energy Generators.

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Carl has an impressive career that spans over

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five decades with extensive experience in the

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design and development of compact, ultra -high

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-field tokamak pathways for commercial fusion

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energy. His journey began at MIT, where he worked

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closely with Dr. Bruce Montgomery on the 14 Tesla

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toroidal field magnet for the groundbreaking

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Alcatore C tokamak. This early work laid the

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foundation for Carl's deep understanding of high

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-field tokamaks and led to his role heading the

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magnet division at Inesco, a pioneering fusion

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startup based in San Diego. There, he engineered

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powerful 30 Tesla, Omnic heating and 16 Tesla

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toroidal field magnets, designs that with sufficient

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funding could have been among the first power

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-generating tokamaks in the world. Carl's influence

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didn't stop there. In 2020, he became the senior

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magnet designer at Commonwealth Fusion Systems,

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a role that further solidified his status as

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the leader in the fusion energy community. Today,

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As the primary architect of Kronos' smart fusion

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generators, Carl is guiding our team towards

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commercial fusion energy. In this episode, we

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dwell into Carl's extensive experience and learn

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about the challenges and rewards of working in

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fusion energy. we'll explore how Carl's journey

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led him to Kronos and the innovative work he's

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doing with our smart generators. We'll discuss

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the importance of superconductors in modern technology,

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the challenges of fusion energy commercialization,

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and Carl's vision for the future. This conversation

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is a unique opportunity. to understand the mind

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of a true fusion energy pioneer and his perspective

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on the direction of sustainable energy. I could

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not have gotten Kronos off the ground if it was

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not for Carl. I am forever grateful for his expertise,

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guidance, and mentorship in helping me establish

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and grow Kronos Fusion Energy. So sit back. and

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get ready to be inspired by one of the leading

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minds in the fusion energy field. Carl Wegel's

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story is one of dedication, innovation, and a

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relentless pursuit of a cleaner and more sustainable

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world. Here's my co -founder at Kronos Fusion

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Energy, Dr. Carl Wegel. Carl, why fusion? Why

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bother at all? An idealist, and I've been very

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much a climate realist, and I want to find a

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solution before man -time burns up the planet.

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The inclusion of energy appears to be, I thought,

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potentially the most successful, and the one

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with the greatest challenge, and I love challenge,

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so here I am. Right, yeah, it's definitely fun

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doing difficult things. When you got started,

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did you get started at MIT or were you somewhere

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before that and you went to MIT? I started at

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MIT in the summer of my sophomore year in the

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same location where my twin brother Bob had started

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the year before. That was the best time for me.

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He was one of the best inventors in my life.

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He was also in my career. I was so enamored with

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his work and admired his work and enjoyed helping

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him. And he more than simply returned the favor.

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So back at the tender age of 13, I was... impressed

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with designing all of the magnets of Alcatur

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C, which is still the world's record holder for

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highest magnetic field. So I was really, really

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grateful for the chance to work with Alcatur

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C at MIT. Yeah. So Alcatur C, does it still hold

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a record? I think it still holds a record. It

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still holds the record at the highest central

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magnetic field of about 14 Tesla. What was JET

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in, do you know? Oh, much, much lower. It was

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a far larger machine, but it was scarcely half

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that of Dr. Tracy. Dr. Tracy was a small machine,

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a toy, but it said... It sent not only the record

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high -spec night field, but for a while, health

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records showed that the H -mode of plasma was

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possible in terms of the scale. It was either

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A -squared R or R -squared A, depending on the

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detail with which one it sent the plasma results.

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That is also the baseline design for our generator

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at Kronos, correct? a great proponent of dimensional

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analysis, where one selects the variables such

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that they are non -dimensional. And once they're

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non -dimensional, then you can apply any exponent

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you want to, which is the value of non -dimensionalizing

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the system. And my dear wish, there were a lot

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that was done in terms of non -dimensional. Components.

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This is the one that's the first vital application

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to artificial intelligence. One of the things

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that AI does is you tell it many times. It's

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never been deep into a data that humans just

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ignore or fail to notice what it's telling you.

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And artificial intelligence can take the time

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that humans can, because they can do it a million

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times faster. And that cooks out the information

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we need. And then I'm told that one of the areas

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where artificial intelligence is supreme... is

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in computer programming and that there are a

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lot of computer programming jobs that are in

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jeopardy because of that. Yeah and a lot of like

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the other jobs like the project management aspects

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of it. I remember writing 400 page like functional

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design documents when I was at Edison or Disney

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where I like wrote the entire design end to end.

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And it took me so long. And now I feel like if

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I had Chad GPT the way that I use it now, had

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I had it back then, man, I don't know where I

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would have been. Material science, I think, is

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going to be also very impactful for us, like

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the advent of AI in quantum computing for coming

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up with new materials. Very excited to see that,

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especially superconducting materials. It's going

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to change the world. You know this. I mean MIT

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is on the forefront of all of this. Yeah, Paul

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is amazing. Tell me about Inesco, Carl. What,

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when you, how far? Inesco was in business from

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1980 to 1984 and they were formed on the ideas

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of Robert Bouchard who decided that At that time,

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there were no high -temperature superconductors,

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so we said, well, the field improves performance

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by an exponent 4. That is, the performance is

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proportional to the field, to the horsepower.

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And as a consequence, we'll make the hot air

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with whatever way we can, which is using... using

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copper. So his idea was to build the core center

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of the vacuum vessel and surround it with copper

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coils and run the copper coils at high temperature

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and then run coolant through it and then the

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coolant would extract the heat generated in the

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copper and convert it back into electricity.

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and would also, the copper would be heated primarily

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by neutrons flying out from the plasma chamber

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and the neutrons would explode not by a wasteful

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barrier, a wasteful shielding, but rather use

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copper itself as the shielding, the TF coils,

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and you could... extract the heat from the neutrons,

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run it through a conventional rotating generator

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and generate electricity. The team was assembled

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in San Diego, Ohio, California. And for four

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years, the team designed PF coils that were operating

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at 60 Tesla. The only kitting system was operating

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at 30 Tesla. And if the full funding had become

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available in a timely manner, it probably would

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be generating fusion today. And it might well

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be worth a near development of that same type,

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because... The cost of these machines was quite

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low. It was just conventional. I kept the distress

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covered. What was the output of this machine?

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Is that comparable as well? Like, so low -cost

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output? Yeah, it was planned for the 500 MW to

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1 EW output. Wow, that's pretty good. Of course,

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the problem would be getting a very high queue

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out of the machine since the wait for heat generated

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in the grid phones was a strong negative. But

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it certainly was the best idea at the time. And

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I think it's now being supplanted by HTS. Wow,

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interesting. But the general ideology of the

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machine, I'm sure bits and pieces are being used

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in other fusion energy systems. So maybe it was

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unnecessary evolutionary stage in fusion. Well,

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since it ended up just being a paper study, and

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it was sort of an outlier that was in it. to

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generate itself animosity so that I doubt that

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anyone would really want to get through the glamour

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of HTS. Right. Yeah, I understand that. So your

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work has consistently pushed boundaries. especially

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with magnet technology and fusion. What were

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the biggest challenges at this time, like I am

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thinking after Inesco, what were the big challenges

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for commercial fusion at that point and how much

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have we improved our chances now? I think the

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biggest challenge in the past has been generating

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a very, very high magnetic field. And to many,

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much extent, that problem still exists today.

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It's been greatly deviated by HDS. A problem

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that has now appeared is that with HDS, HDS is

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a brittle ceramic, and if one... If one stretches

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HTS by more than 0 .4 or 0 .5%, it runs in danger

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for the microcracks, and the microcracks copy

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current density by half, I'm sorry, by 10%. And

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if one tries to... And the system with fire fields,

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the strain gets higher, the stress gets higher,

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the strain gets higher. You have a losing battle

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that your current capacity of HTS gets to plummet.

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By about 0 .7 % to 1%, the current density is

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up to about half. So a new problem that I think...

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Not enough people with the knowledge are unaware.

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Materials don't need to be strong. We got that

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problem solved. They have to be stiff. And there

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are only very, very, very few materials that

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are stiff. Tungsten is very stiff. Modules twice

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that of steel. But it's... very difficult to

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work with, and it too is brittle. You try to

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roll it to make it thinner, and it just fumbles,

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you know what I'm saying? And in order to keep

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it so held together, you have to roll it, not

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even at room temperature, but at liquid nitrogen

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temperature. And even there, you don't gain a

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great deal. The other material is... carbon fiber,

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it too has a modulus of heat. It can have a modulus

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of heat, at least twice that of steel. And that's

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the material that we plan to be using. In the

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wings, there's materials like graphene and similar

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nanotubes, and those can be developed. have an

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affordable cost, they will eventually supplant

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that graphene as the safest material known as

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far as I know. And we have funding for the Graphene

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Council as one of our host consultants. Right,

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we spoke to that, yeah. Also, you know, our without

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naming the company, our partner that we've been

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working with that converts biomass to jet fuel

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also would like to convert biomass to carbon

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fiber using fusion as the heat source. So there

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could be like a cyclical arrangement that we

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actually kind of discussed that when we signed

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our MOUs where we would buy back the carbon fiber

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from that. It's pretty cool. Yeah, and who knows

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what other material will come through, you know,

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that Google AI designed 380 ,000 material compositions

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using quantum computing. So, you never know what's

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possible. The companies are generating these

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exquisite materials. I mean, not by the old -fashioned

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trial and error, but rather by the computer simulation,

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the computer codes that tell exactly the orbits

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of the electrons as they swirl around the nucleus

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and the interaction of the electrons with the

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universe towards it, and then tell you which

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material has the highest melting point not only

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in the world, but probably in the universe, and

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a family of other ones that have a melting point

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that approaches that, but are perhaps made with

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much lower cost materials. But there's the half

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the impact of nitrite. Nitrite is the current

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and probably be the permanent victor in that

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race. And we have collaboration with them. So

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we're keeping our eyes open to all of the world's

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best materials and the people who are developing

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them. Yeah, no, we definitely want those partnerships.

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We want, we need to drill it into the heads of

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young people that material sciences is like an

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exciting thing to get into. I think it's arguably

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the most exciting thing. I agree, yes. I think

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you should do much, much to the side. Oh my God,

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yes. And also, you know, payload is like the,

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is a big, big factor in the rocket equation.

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And if we can make lighter materials, which is

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what a lot of material companies are after, we

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can make space travel, multi -planetary civilizations,

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we can make all that possible. All of that is

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engineering and materials right now. It's a collaboration.

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The carbon fiber that we plan to use was in fact

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developed as an aircraft of use. Oh, okay. That's

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so awesome. It was developed not merely for its

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lightweight and structural properties, but also

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that it could survive a lightning strike much

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better than the available carbon fibers. Carl,

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in all of these projects that you worked on building

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various fusion energy generators out there. How

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many people is too many people in a team? When

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does it become bureaucratic and cumbersome? have

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too much interplay between people that you can't

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make much further progress. Plus, well, you begin

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to get all down and you begin to get overly cautious

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and you run the risk of... not being able, that

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you're unwilling to take any risks at all. And

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when you build a machine, you've got to be taking

00:23:07.269 --> 00:23:18.029
some risks or you're not at the level of performance

00:23:18.029 --> 00:23:23.009
the fusion seems to demand that you be. Yeah.

00:23:23.369 --> 00:23:26.869
I see where you're going with this. It basically

00:23:26.869 --> 00:23:30.150
becomes cumbersome and bureaucratic after like

00:23:30.150 --> 00:23:34.109
a 500 person point where decisions are slowed

00:23:34.109 --> 00:23:37.470
down and progress is almost slowed down because

00:23:37.470 --> 00:23:39.609
there are too many hinds in the pot. That makes

00:23:39.609 --> 00:23:43.430
sense to me. Nine people is low. That is shockingly

00:23:43.430 --> 00:23:55.200
low. Shockingly low. smaller than nine. And even

00:23:55.200 --> 00:24:01.319
Kamua Fusion, it was just a small team assembled

00:24:01.319 --> 00:24:09.500
from survivors of Alcatraz -Simon. When you have

00:24:09.500 --> 00:24:14.400
a team of nine, your idea is to have the top

00:24:14.400 --> 00:24:18.299
nine people in the world. And when you have a

00:24:18.299 --> 00:24:22.440
team of 40, You can want a team of the top 40

00:24:22.440 --> 00:24:25.920
people in the world, either people who are at

00:24:25.920 --> 00:24:32.460
the pinnacle of knowledge, or having passionate

00:24:32.460 --> 00:24:36.380
young people who devote all of their energies

00:24:36.380 --> 00:24:41.480
to working on it. And when you assemble a 40

00:24:41.480 --> 00:24:46.200
to 80 reset, and when you get a team beyond 80,

00:24:47.859 --> 00:24:52.619
you're beginning There are no more top -level

00:24:52.619 --> 00:24:56.160
people in the world. You've got to be one of

00:24:56.160 --> 00:24:59.299
the ones who are willing to join you. And if

00:24:59.299 --> 00:25:03.559
you start adding people who are not top -level

00:25:03.559 --> 00:25:08.559
people, they may very well not contribute to

00:25:08.559 --> 00:25:13.940
the design. So why are they there? That you could

00:25:13.940 --> 00:25:17.500
have lackeys that you hire somebody because there's

00:25:17.500 --> 00:25:20.029
great computers. programming and they program

00:25:20.029 --> 00:25:23.250
whatever you tell them to, but they don't really

00:25:23.250 --> 00:25:26.490
fully understand what it is they're working on.

00:25:27.650 --> 00:25:34.950
And that's the whole level. Second level people,

00:25:35.730 --> 00:25:42.890
you need to sort of question their work because

00:25:42.890 --> 00:25:45.750
they may not know quite what they're doing and

00:25:45.750 --> 00:25:50.680
they need guidance. I understand. Okay, there's

00:25:50.680 --> 00:25:57.660
also the aspect of you may desperately need certain

00:25:57.660 --> 00:26:04.740
people for a certain span, but then are you obligated

00:26:04.740 --> 00:26:13.019
to keep the people when they've chucked one lot

00:26:13.019 --> 00:26:17.980
of their expertise and that's... This is kind

00:26:17.980 --> 00:26:21.440
of why I picked the general business model that

00:26:21.440 --> 00:26:25.660
we've been working on, Carl. We literally have...

00:26:25.630 --> 00:26:28.390
our ignition system that's being built by another

00:26:28.390 --> 00:26:31.170
company. We have our heat capture system on the

00:26:31.170 --> 00:26:34.269
other end built by another company. We have the

00:26:34.269 --> 00:26:36.930
magnet systems built by another startup that's

00:26:36.930 --> 00:26:39.170
coming out of Brookhaven National Labs. We have

00:26:39.170 --> 00:26:42.609
our red coat tape being built in Houston. So

00:26:42.609 --> 00:26:46.230
it's almost as if we just are the people that

00:26:46.230 --> 00:26:49.390
put the Lego pieces together and we're enabling

00:26:49.390 --> 00:26:51.769
an infrastructure of about 200 companies that

00:26:51.769 --> 00:26:54.250
would work with us in order to do these things

00:26:54.250 --> 00:26:58.960
because then not only do you have that flexibility

00:26:58.960 --> 00:27:02.279
of your contractual agreement, you also enable

00:27:02.279 --> 00:27:05.160
a large infrastructure, like an economic infrastructure,

00:27:05.359 --> 00:27:07.980
where the best people who do the best things,

00:27:08.119 --> 00:27:10.920
you just buy it from them, rather than having

00:27:10.920 --> 00:27:15.660
to build everything in -house. Yeah, sorry, go

00:27:15.660 --> 00:27:27.049
ahead. Anyway, moving on from that. What, what

00:27:27.049 --> 00:27:29.549
are you, what are you, what was like the big

00:27:29.549 --> 00:27:32.750
accomplishment in your life that, that like,

00:27:32.809 --> 00:27:35.630
you know, your parents would be proud of and

00:27:35.630 --> 00:27:56.849
like, what was that moment for you? Again, with

00:27:56.849 --> 00:28:02.450
my twin brother, we saved my mother $53 million

00:28:02.450 --> 00:28:08.390
that they had built a laboratory for integrated

00:28:08.390 --> 00:28:12.210
science and engineering, a BSAT building, which

00:28:12.210 --> 00:28:19.910
was almost $200 million. And they needed to magnetically

00:28:19.910 --> 00:28:25.589
shield the building because the building... Intelligently,

00:28:25.809 --> 00:28:30.309
or no, I'm not sure, had decided that the two

00:28:30.309 --> 00:28:34.109
were going to do all of their nanotechnology

00:28:34.109 --> 00:28:37.829
in this one building. And that meant using the

00:28:37.829 --> 00:28:42.170
two major tools of nanotechnology, one of which

00:28:42.170 --> 00:28:47.349
is very high magnetic field magnets, superconducting

00:28:47.349 --> 00:28:51.329
magnets with four dimensions or four inches is

00:28:51.329 --> 00:28:57.140
something that generated 814 Tesla. And in the

00:28:57.140 --> 00:29:00.259
room, they call them cells, in the cell next

00:29:00.259 --> 00:29:04.400
door, they might have an electron microscope,

00:29:04.880 --> 00:29:09.140
which are sensitive to a field of billions of

00:29:09.140 --> 00:29:12.240
that field generated by the high -field magnets.

00:29:13.420 --> 00:29:19.400
And they needed to use a magnetic field called

00:29:19.400 --> 00:29:24.660
new metal to... magnetize in such a way that

00:29:24.660 --> 00:29:30.380
it gets outside of the cell that had the high

00:29:30.380 --> 00:29:34.559
field magnet field. The field would plummet and

00:29:34.559 --> 00:29:37.259
be low enough that they could put an electron

00:29:37.259 --> 00:29:41.119
microscope in the room next to it. And to do

00:29:41.119 --> 00:29:44.400
so, it would require taking everything off the

00:29:44.400 --> 00:29:48.359
walls of the building, putting on layers of this

00:29:48.359 --> 00:29:54.210
new metal, and then putting the features on the

00:29:54.210 --> 00:30:00.250
wall again. The previous company had come up

00:30:00.250 --> 00:30:04.210
with an estimate of $54 million to do this in,

00:30:04.210 --> 00:30:10.130
I think, about 18 months. And we came in to co

00:30:10.130 --> 00:30:12.289
-operate the results to see whether we could

00:30:12.289 --> 00:30:16.769
do better. And after doing analysis with a...

00:30:16.809 --> 00:30:20.130
a code from Integrated Engineering Software,

00:30:20.789 --> 00:30:24.509
we were able to cut the amount of new metal required

00:30:24.509 --> 00:30:30.230
by 102 and therefore cut the cost from $54 million

00:30:30.230 --> 00:30:40.130
to $27 million. But, meanwhile, Bob and I were

00:30:40.130 --> 00:30:43.210
saying over and over again that using new metal

00:30:43.210 --> 00:30:48.400
was not the cheapest way to go. That the cheapest

00:30:48.400 --> 00:30:52.640
way was to replace all of their high -field magnets

00:30:52.640 --> 00:30:57.019
with replacement new magnets that were designed

00:30:57.019 --> 00:31:03.299
in a way that they generated nine to zero fringe

00:31:03.299 --> 00:31:06.339
field. Instead of the fringe field dropping off

00:31:06.339 --> 00:31:11.799
as R1 over R2 or R1 over R to the fifth, it to

00:31:11.799 --> 00:31:15.009
drop it over as one of them. over R to the 11th

00:31:15.009 --> 00:31:19.130
or one over R to the 23rd power such that the

00:31:19.130 --> 00:31:24.910
magnetic field in adjacent cells was well below

00:31:24.910 --> 00:31:31.089
that tolerable by the microscope. And we didn't

00:31:31.089 --> 00:31:39.390
get a whole lot of acceptance by the physicists.

00:31:41.400 --> 00:31:45.980
did get acceptance by the woman who was the founder

00:31:45.980 --> 00:31:54.039
of the project. So she listened to us and decided

00:31:54.039 --> 00:31:58.900
that that would be the way we go. But there was

00:31:58.900 --> 00:32:02.240
all this climber that would take too darn long.

00:32:02.859 --> 00:32:06.619
But they went to cryomagnetics in Tennessee and

00:32:06.619 --> 00:32:11.910
got a quote. million dollars for all of the mag
