AI material discovery startup CuspAI reportedly raising $400M round

CuspAI Ltd., a startup working to speed up material discovery, is reportedly in the process of raising a $400 million funding round.

SiliconANGLE·Jun 17

Megalibraries could reshape AI-driven materials discovery faster than self-driving labs

Scientists may soon stop hunting for new materials—and start designing them to order. For the first time, Northwestern University scientists have demonstrated that megalibraries—tools that ...

Phys.org·May 24

Next-gen nuclear fusion alloy discovery reduced from months to hours with new US tool

Interesting Engineering·May 10

AI materials discovery now needs to move into the real world

Startups flush with cash are building AI-assisted laboratories to find materials far faster and more cheaply, but are still waiting for their ChatGPT moment. The microwave-size instrument at Lila ...

MIT Technology Review·Dec 14

Securing America’s Critical Mineral Supply Through Physics-Informed AI

Researchers at Ames National Laboratory are advancing the discovery of materials for rare-earth-free permanent magnets by combining fundamental physics with artificial intelligence. The work ...

AZOM·Jun 4

NRC reforms and fusion plant approval mark turning point for U.S. nuclear

Regulatory shift ahead: The NRC is advancing technology-neutral, risk-informed rules to speed advanced reactor approvals and reduce unnecessary costs. Fusion milestone reached: Commonwealth Fusion ...

MSN·May 10

DuctGPT demonstrates how AI can accelerate discovery of next-generation fusion materials

Phys.org·Apr 27

An AI-driven roadmap for future permanent magnet design

Researchers at Ames National Laboratory are advancing the discovery of materials for rare-earth-free permanent magnets by combining fundamental physics with artificial intelligence. The work ...

Tech Xplore·Jun 4

US advances fusion with AI alloy tool and first grid permit

AI speeds alloy design: Ames Lab's DuctGPT uses AI and physics modeling to identify fusion-ready alloys in hours instead of months, aiding reactor material development. First grid-linked permit: ...

MSN·May 10

Bridging AI- and experimental-led materials discovery with better database architecture

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku University. In an article published in the journal Precision Chemistry, they...

Phys.org·Apr 8