In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

As a structural biologist, he is studying this process on the smallest scale: the trillions of atoms that must synchronize their work to make it happen. "I don't see a big difference ...

Researchers from Michigan Tech and the University of California, Los Angeles (UCLA) are collaborating on a machine learning model that aims to break the cubic scaling barrier of quantum mechanics.

A research team has used a machine learning approach to investigate the evolution of shell structure for nuclei far from the stability valley. The study, published in Physics Letters B and ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

A team of researchers report in the Proceedings of the National Academy of Sciences on a new graphene-based sensor design ...

Water molecules represent a powerful but largely underappreciated foothold in drug binding studies. See how ColdBrew can ...