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 ...

How Emmy Noether's theorem uses the Lagrangian to provide a formula for calculating the quantity of symmetries in a system—like the orbit of planets.

Abstract: Reduced weight, size, and maintenance cost, as well as quieter and eco-friendly operation of electro-mechanical actuators (EMA), gained profound attention in various sectors, particularly ...

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 ...

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 ...

In a Penn State lab, a small cylinder of soil sits wired with sensors, slowly cooling as it mimics conditions thousands of ...

The latest wave of simulation technology releases from Ansys, Cadence, and Avnet underscores a growing convergence of ...

The automotive industry holds some of the highest-value and most complex design disciplines you can think of. Designers face ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...