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 created MD-ET, a transformer-based molecular dynamics model that achieves state-of-the-art results without embedding physical laws like energy ...

A simple transformer-based model challenges the role of physical constraints in molecular dynamics simulations Simulating how atoms and molecules move over time is a central challenge in computational ...

Quantum spin liquids are fascinating states of matter where magnetic spins stay disordered, defying the usual rules of magnetism. Scientists have made an exciting discovery about one such material.