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 ...

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 ...

Detecting galactic filaments with machine learning

Star formation in galaxies takes place in filaments composed of gas (mainly hydrogen) and small solid particles called interstellar dust, which is mainly carbon. Depending on the location of these filaments and their physical ...

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