Predicting material properties remains a major challenge in materials science, as it often requires complex and computationally intensive calculations. In particular, understanding how materials ...

Large language models have already transformed software engineering, for better or worse. Now, so-called large physics models are also starting to transform design engineering. These tools are ...

Weather forecasting is another aspect of modern life that artificial intelligence is transforming. Models like GraphCast, Pangu-Weather, and Fuxi are already better than traditional physics-based ...

A physics-based AI model identifies new high-dielectric materials by modeling atomic behavior, enabling faster and more accurate materials discovery. (Nanowerk News) Predicting material properties ...

AI-powered weather models have been implemented into forecasts around the world, but they are not a replacement for traditional, physics-based models. These newer AI models struggle with intensity and ...

New release gives engineering teams an AI-native simulation partner that turns requirements, prior designs, test data, and natural-language prompts into validated models and deployment-ready code. "AI ...

Japanese AI startup Sakana has launched Fugu, a new AI model family that the company says outperforms Anthropic's Claude ...

Schematic illustration of the physics-based AI framework. Starting from a crystal structure, the method separately predicts Born effective charges and phonon properties, which are then combined using ...