#Materials Science

AI's Limits in Science & Self-Driving Labs

Joseph Krause of Radical AI discusses the limitations of AI in science and the necessity of self-driving labs for accelerating discovery.

Microsoft's MatterSim accelerates material discovery

Microsoft's MatterSim AI platform achieves experimental validation, faster simulations, and introduces a powerful multi-task model for advanced material discovery.

AI in Materials Science: A New Frontier

MIT Professor Heather Kulik and MiraOmics CTO Brandon Anderson discuss how AI is transforming material discovery, accelerating research, and overcoming traditional challenges.

MLIPs: From Blind Screening to Certified Discovery

New framework Proof-Carrying Materials (PCM) ensures reliability for machine-learned interatomic potentials (MLIPs), dramatically improving materials discovery.

XPRIZE Quantum Applications: Finalists Push Real-World Quantum