Researchers developed a way to quickly calculate the transition state structure of a chemical reaction, using machine-learning models. During a chemical reaction, molecules gain energy until they ...

Researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier ...

Researchers from Carnegie Mellon University and Los Alamos National Laboratory have used machine learning to create a model that can simulate reactive processes in a diverse set of organic materials ...

Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...

Just like an astronomer investigates outer space, a chemist explores chemical space—a theoretical territory with all possible known (and unknown) chemical compounds. Researchers estimate chemical ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

VANCOUVER, BC / ACCESS Newswire / May 1, 2026 / Redwood AI Corp. (CSE:AIRX)(OTCQB:RDWCF)(Frankfurt:Y0N, WKN: A422EZ) ("Redwood" or the "Company") is pleased to announce preliminary results from a ...

When chemists design new chemical reactions, one useful piece of information involves the reaction's transition state—the point of no return from which a reaction must proceed. This information allows ...

(Nanowerk News) Researchers from Carnegie Mellon University and Los Alamos National Laboratory have used machine learning to create a model that can simulate reactive processes in a diverse set of ...

(Nanowerk News) During a chemical reaction, molecules gain energy until they reach what’s known as the transition state — a point of no return from which the reaction must proceed. This state is so ...