Researchers have discovered a specific method to predict which layered materials can be successfully turned into thin sheets for use in flexible and printable electronic devices.

The system uses robotics, automated analysis and artificial intelligence to rapidly test catalyst recipes and reaction conditions.

A classical mathematical function allows simulations of atoms and molecules to run several times faster on supercomputers while keeping full accuracy.

MIT scientists have released a new open source AI model to predict protein structure with a performance similar to AlphaFold3.

New framework links atomic movements to large-scale effects, aiding design of medicines and materials.

Researchers have built an artificial intelligence system that predicts long term changes in molecules over ten thousand times faster than usual computer simulations.

Auburn's new materials enable precise manipulation of free electrons to advance quantum computing and chemical catalysis.

Three scientists win for inventing spacious molecular structures that capture gases and address global challenges like clean water and pollution.

Researchers have developed active matter: synthetic materials that can move on their own, much like worms.

Researchers create a light-activated molecule that stores multiple charges, advancing the goal of turning sunlight into clean fuels without adding carbon dioxide to the atmosphere.