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 ...

By remotely accessing an IBM quantum computer, a research scientist at Lawrence Berkeley National Laboratory has successfully ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

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

High Energy Physics (HEP) is a deeply collaborative and software-driven discipline, where scientific discovery depends on ...

Pipeline network simulations Unit conversions across SI, CGS, and Imperial systems Component-based property calculations And more, with advanced features under active development.

A Python research framework implementing Active Flux Pinning Dynamics (AFPD) for next-generation quantum-assisted suspension control. Includes dual-input stiffness/damping control, nonlinear damping μ ...

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.

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 ...