For thousands of these materials, X-ray diffraction patterns exist but remain unsolved. To try to crack the structures of these materials, Freedman and her colleagues trained a machine-learning model ...

Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar ...

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, ...

Artificial intelligence does not exist in a vacuum. Behind every well-trained model, every accurate recommendation engine, ...

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 best when the ...