A U.S. company has launched the first system to test hypersonic vehicle materials against real weather before flight at ...

Of the known things in the universe, black holes are among the most extreme. They pack huge amounts of mass densely into a ...

Scientists are using AI and physics-based simulations together to design new peptides that will kill previously ...

Free interactive tool uses particle physics-inspired Burkeanomics to predict prosperity impacts from policies in the ...

A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...

Abstract: A novel meshless electromagnetic (EM) simulation framework based on Physics-Informed Neural Networks (PINNs), enhanced by the integration of Kolmogorov–Arnold Networks (KANs) is presented.

Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

A curated awesome list of papers, benchmarks, datasets, and systems for spatial reasoning, planning-oriented simulation, and simulation-ready 3D scene generation for embodied AI. - ...

This list is about spatial intelligence for usable worlds, not just pretty renders. It prioritizes work that builds or uses structured spatial state: objects, geometry, relations, affordances, ...

Abstract: We present a sampling-based model predictive control method that uses a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral ...