Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that achieves state-of-the-art results without encoding traditional physical constraints ...

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.

Modelling and simulation form a pivotal discipline in which real‐world systems are abstracted into mathematical and computational representations. This process enables researchers to explore, predict ...

Molecular Dynamics Simulations are grounded in classical mechanics, particularly Newton’s laws of motion, to predict how particles move within a system. The force acting on each atom is calculated ...