Abstract: This presentation discusses computational modeling of complex materials behaviors under multi-physics conditions for Aerospace applications. We develop chemistry, physics, and ...

Over the past decade or so, foundation models have emerged as the dominant paradigm for interacting with language, images, ...

From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has ...

A new study in Science Advances finds that physics-based weather models outperform leading AI systems when predicting record-breaking extreme weather events. While AI models like GraphCast and ...

PhysicsX’s LGM-Aero AI-based analysis tool predicts performance of new shapes. Credit: PhysicsX Numerical simulation has become an essential part of aircraft design, from aerodynamics and structures ...

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 ...

This technical FAQ discusses how AI thermal models compare to physics-based approaches and which deep learning architectures ...

The use of better-quality data can improve the business case for a number of solar projects. Image: Photon Group. The integrity of a PV project largely depends on the quality of the solar, ...

Across Asia, the Pacific Ocean, and the Americas, El Niño Southern Oscillation (ENSO) brings variations in winds, weather, and ocean temperature that can cause droughts, floods, crop failures, and ...