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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.

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.

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

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.

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.

Self-propelled particles form tight clusters in dense colonies of dividing cells due to forces created entirely by the growing environment itself.

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