They then used a "confidence model" to predict which states were the most likely to occur. These solutions were accurate to within 0.08 angstroms (one hundred-millionth of a centimeter) when compared ...

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 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 ...