How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...

Equipment failures emerge from complex system interactions in real-world conditions that simulation cannot fully predict or ...

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 ...

VICKSBURG, Miss. — In contingency operations, the Modular Causeway System (MCS), an assembly of floating modules, is often used for loading and unloading supplies and equipment from ship to shore. The ...

Industrial simulation and emulation are powerful but still underemployed techniques for designing, developing, and testing better automation solutions and machines. When used as a central part of a ...

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 ...

Electricity flow is generally invisible, silent, and not something that most humans want to touch, so understanding how charge moves around can be fairly unintuitive at first. There are plenty of ...

Jian Jiang's team at the Institute of Chemistry, Chinese Academy of Sciences, recently published an article that focuses on the core bottlenecks of ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that ...