Chemists have developed a generative AI model that can make it much easier to determine the structures of powdered crystal materials. The prediction model could help researchers characterize materials ...

Gabriele Corso (left) and Jeremy Wohlwend (at podium) presented their new model at a Dec. 5 event at MIT’s Stata Center, where they said their ultimate goal is to foster global collaboration, ...

(Nanowerk News) For more than 100 years, scientists have been using X-ray crystallography to determine the structure of crystalline materials such as metals, rocks, and ceramics. This technique works ...

A research team led by a Duke professor recently developed a novel computational model to predict antibody structures, a significant breakthrough for disease prevention efforts. A study published in ...