Material Science

topic on 7 shows · 15 statements across 14 episodes

More or Less Latent Space Capital Allocators Catalyst the MAD Podcast the a16z Podcast 20VC

15 statements about Material Science, every show

Gomez-Bombarelli: AI Must Solve Real Material Science Beyond Simulation
“But it was clear that we needed to bridge a gap and get this thing all the way out and make, do AI for actual material science and not just the computational version.”
Rafa Gomez-Bombarelli Jul 16, 2026 ▶ 5:10 🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
Krause: ML engineers in science should specialize instead of switching fields
“Bring the specialization and lean into your expertise. Don't shy away from it. Don't try to become a material scientist. Be an MLE that works in material science.”
Joseph Krause Jun 17, 2026 ▶ 1:09:22 🔬 The Limits of AI in Science - Why We Need Self-Driving Labs — Joseph Krause, Radical AI
20VC Assertion Not checkable as stated
Midha: AI has reached superhuman capabilities in domain-specific tasks
“Within coding, within material science, within each of these domain distributions, we are seeing capabilities that are superhuman.”
Anjney Midha Apr 14, 2026 ▶ 8:42 The Early Days of Anthropic & How 21 of 22 VCs Rejected It | The Four Bottlenecks in AI | Anj Midha · 20VC with Harry Stebbings
LATENT SPACE Assertion Not checkable as stated
Kulik: Machine-Learning-Ready Publishing Is Not Developed Across Materials Science
“Some research sub-fields are trying to do that, but it's not really developed across material science.”
Heather Kulik Mar 24, 2026 ▶ 31:46 🔬There Is No AlphaFold for Materials — AI for Materials Discovery with Heather Kulik
a16z Prediction Not checkable as stated
Hsu: Near-term scientific research will rely on human-AI-robotics collaboration
“So what that might look like in the near term is collaboration between a scientist and a system that involves both an AI application and a robot and having that be a much more collaborative process in the near term In many different kinds of labs and many diff…”
Oliver Hsu Dec 31, 2025 ▶ 1:11 AI in 2026: 3 Predictions For What’s To Come (a16z Big Ideas)
a16z Prediction Not checkable as stated
Krishna: Robotics, 3D printing, and material science will lower home construction costs
“And so there are other things that I think will improve as we think about like the future, like the cost of building a home has got to come down. Right. And I think things like robotics three D printing, you know, advancements in material science will help wit…”
Varun Krishna Nov 12, 2025 ▶ 8:27 Rocket Companies CEO: Here’s How to Fix the Housing Crisis
MAD Prediction Held up
Gomez: Specialist AI models will emerge for drug creation and material sciences
“There will be specialist models that emerge to help in things like in pharma, right? The creation of new drugs in material sciences for advanced materials.”
Aidan Gomez Jun 5, 2025 ▶ 29:10 Inside the Paper That Changed AI Forever - Cohere CEO Aidan Gomez on 2025 Agents
CATALYST Insight
Schroepfer: AI does not solve climate tech's manufacturing scale-up bottleneck
“AI for material science, great for discovering new materials. The manufacturing scale-up is usually the hard part. So great, I've got this new MOF. I've got to make a lot of it very cheaply. The AI doesn't really help me very much with that. Like, in theory, m…”
Mike Schroepfer May 1, 2025 ▶ 33:09 Catalyst Live at SF Climate Week
Feder: Industrial, defense, and materials tech are the sensible hardware bets
“Yeah, you know, industrial applications, or military applications, or material sciences, those seems like, those seem like the places where you can actually build a company more sensibly.”
Dan Feder Sep 27, 2024 ▶ 34:45 #66: Meta Connect, the Hardware Renaissance (or Not?) and Special Guest Dan Feder · More or Less Podcast
MORE OR LESS Prediction Not checkable as stated
Dave Morin predicts AI will drive breakthroughs in material and biological sciences
“We're probably going to make some pretty amazing breakthroughs in like material science, and maybe we can actually explore domains with incredibly large data sets that were really hard to make sense of, right? We're seeing glints of that right now with materia…”
Dave Morin May 31, 2024 ▶ 21:12 #49: The Big Ass Calendar… and Other Things NOT to Google · More or Less Podcast
Douvos: University deep tech works with small exits if ownership math is right
“The material sciences guys, you know, none of their companies will ever sell for more than two hundred million dollars, but when you can own 35% of the company for 750 K, and you got a twenty-five million dollar fund, the arithmetic works in your favor.”
Chris Douvos Feb 27, 2023 ▶ 51:10 Venture Capital Panel – Beezer Clarkson, Chris Douvos, and Joelle Kayden (Capital Allocators, EP.299)
CATALYST Assertion Supported
Classical computers cannot simulate molecular systems more complex than two atoms
“We do not have the capability currently with our classical computers to simulate anything more complicated Than a two-body problem or a two-atom molecule, and we're really good at simulating hydrogen, so we can take that, put it into a computer, and understand…”
Mark Cupta Dec 16, 2021 ▶ 27:16 Quantum computing could be a critical climate solution
CATALYST Assertion Not checkable as stated
Cupta: Materials science breakthroughs take 20 to 30 years to commercialize
“It typically takes Decades, 20 to 30 years to go from a university idea of something into a full-scale commercialization because it's very, very challenging to be able to do material science research with PhD horsepower. It takes a very long time of doing that…”
Mark Cupta Dec 16, 2021 ▶ 29:40 Quantum computing could be a critical climate solution
a16z Insight
Pande: Principles of traditional engineering disciplines carry over to biological systems
“I think mechanical engineering, electrical engineering, material science, computer science, all these disciplines are pushing into biology, and so instead of steel, it's bone, or it's muscle, but the same principles actually carry over really nicely, and if yo…”
Vijay Pande Mar 23, 2018 ▶ 4:20 Pande & Conde: When (and How) Biology Becomes Engineering
20VC Disclosure
Bryan Johnson: OS Fund prioritizes synthetic biology and material science
“We've been mostly in synthetic biology and genomics, done some space and AI. But material science is an area that's very interesting to us.”
Bryan Johnson Jan 25, 2016 ▶ 13:47 20VC: Bryan Johnson @ OS Fund & Braintree on Investing In The Operating Systems Of Life & Why VC Should All Be Open Source

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