New framework applies machine learning to atomistic modeling

Northwestern University researchers have developed a new framework using machine learning that improves the accuracy of interatomic potentials—the guiding rules describing how atoms interact—in new materials design. The ...

Machine learning unlocks plants' secrets

Plants are master chemists, and Michigan State University researchers have unlocked their secret of producing specialized metabolites.

Q&A: How machine learning is propelling structural biology

For Lucas Farnung, there is no question more fascinating than how a single fertilized egg develops into a fully-functioning human. As a structural biologist, he is studying this process on the smallest scale: the trillions ...

page 2 from 3