I think that we should all be proud of that," Moctezuma said. Using a previously published data set—comprised of 1,936 E. coli strains from patients that were tested against 12 antibiotics—the ...

The advent of machine learning interatomic potentials (MLPs) is revolutionising the field of computational materials science, enabling simulations of large systems and complex material properties with ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...