Interpretable AI in materials discovery: Uncovering how models make predictions

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

Smarter, faster AI models explored for molecular and materials discovery

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 ...
Phys.org

Using generative AI to help scientists synthesize complex materials

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 ...
Forbes

Microsoft Team Uses Diffusion Model For Materials Science

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 ...
The Economist

AI models are dreaming up the materials of the future

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 ...