Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that omits traditional physics constraints like energy conservation and equivariance.

Quantum many-body physics explores emergent properties of many interacting quantum particles, which often have no counterpart in classical systems. Of particular interest is the study of ...

Modeling the Dynamics of Life: New Frontiers in Biological Physics and Mechanics is a special Collection of the npj Biological Physics and Mechanics journal, dedicated to the development and ...

From ketchup to quicksand, non-Newtonian fluids have long fascinated and puzzled scientists. Unlike ordinary fluids, their ...