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 ...

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 ...

he Energy and Thermofluids Group develops physics-based models to understand how energy is generated, converted, and transported through fluids and thermal systems. Our work is rooted in ...

The semiconductor industry has greatly simplified analysis by consolidating around a small number of models and abstractions, but that capability is breaking down both at the implementation level and ...

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 ...

Researchers have shown how random forest algorithms can be applied to complex ecological models to uncover the mechanisms driving system behavior. By analyzing a stage‑structured consumer‑resource ...

SimScale, an AI-native cloud engineering simulation platform, has partnered with AI Engineering GmbH to integrate the Pamics solver into its ecosystem, delivering groundbreaking advancements in fluid ...

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 ...

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 ...