Computational model captures the elusive transition states of chemical reactions
Using generative AI, MIT chemists created a model that can predict the structures formed when a chemical reaction reaches its point of no return.
Using generative AI, MIT chemists created a model that can predict the structures formed when a chemical reaction reaches its point of no return.
Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.
A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.
Computational chemists design better ways of discovering and designing materials for energy applications.
The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.