A study in the Journal of Cosmology and Astroparticle Physics explores how a machine-learning strategy known as transfer ...

Numerical simulations in physics often require estimating a multitude of parameters, making the process computationally ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

The American Physical Society (APS) – the world’s largest organization of physicists – has awarded the 2026 Aneesur Rahman Prize for Computational Physics to Stefano Baroni, Professor of Condensed ...

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 ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science. Classical machine learning approaches to molecular dynamics (MD) encode ...

Luminary is rethinking physics simulation workflows spanning GPU clusters from the ground up. The new company hopes the new architecture and business model will impact the simulation industry as much ...

The collaboration builds the first digital twin of a stellarator fusion power plant and leverages world leading AI, physics, and engineering for ...

With an applied physics: computational degree, you’ll gain specialized expertise in mathematical modeling, simulation, and data analysis, preparing you for careers in technology and research. Become ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...