A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...

Chemists have developed a generative AI model that can make it much easier to determine the structures of powdered crystal materials. The prediction model could help researchers characterize materials ...

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

Cornell researchers are demonstrating how artificial intelligence—particularly deep learning and generative modeling—can accelerate the design of new molecules and materials, and even function as an ...

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of problems. Now, scientists just have to figure out how to make them. In many ...

British biochemist Professor Frederick Sanger was awarded his second Nobel Prize for Chemistry in 1980. He is only the third person to win Nobel Prizes for science in the history of he awards and ...

Editor’s note (May 19th 2025): On May 16th, MIT said that Aidan Toner-Rodgers was no longer in the MIT PhD program. The university “has no confidence in the provenance, reliability or validity of the ...

Multi-Criteria Decision-Making (MCDM) for material selection addresses the challenge of choosing among competitive materials for engineering and design objectives. It integrates diverse ...

For more than 100 years, scientists have been using X-ray crystallography to determine the structure of crystalline materials such as metals, rocks, and ceramics. This technique works best when the ...