Researchers from Google DeepMind, BIFOLD, and TU Berlin have unveiled AI models that simulate molecular behavior without hard-coded physical laws, achieving competitive results through massive ...

A milestone report from the University of Kansas appearing this week in the Proceedings of the National Academy of Sciences proposes a new technique for modeling molecular life with computers.

Researchers at The University of Manchester have created a groundbreaking physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at ...

Researchers have made a meaningful advance in the simulation of molecular electron transfer -- a fundamental process underpinning countless physical, chemical and biological processes. The study ...

Researchers from the Massachusetts Institute of Technology (MIT) Jameel Clinic for Machine Learning in Health have announced the open-source release of Boltz-2, which now predicts molecular binding ...

Yan Wang, Ph.D., joined the Department of Mechanical Engineering at the University of Nevada, Reno as an assistant professor in 2016. He received his Ph.D. in mechanical engineering from Purdue ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science. Classical machine learning approaches to molecular dynamics (MD) encode ...

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.

Computer chips are a hot commodity. Nvidia is now one of the most valuable companies in the world, and the Taiwanese manufacturer of Nvidia's chips, TSMC, has been called a geopolitical force. It ...

The study, published in Communications Chemistry, explores the first AI‑powered model that can keep molecular simulations running safely and smoothly, even when molecules are pushed to extreme ...