Dynamic black holes may obey Hawking-style thermodynamics with an alternative entropy measure

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

How generative AI and physics can help design new antibiotics

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

Burkeanomics Simulator Launches: Interactive Tool Models Right, Left & Center Economics

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

Physicists and AI model Claude 'collaborate' to prove a 10-year-old jamming conjecture

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

Modular Meshless Electromagnetic Simulation Using KAN-Based Physics-Informed Neural Networks

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.
Analytics Insight

Best Physical AI Development Tools and Frameworks in 2026

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