This video shows how to apply the work–energy principle to real physical systems beyond ideal point particles. Learn how external work, internal forces, and energy losses are handled in practical ...

Brookhaven researchers combine AI and physics to improve 3D X-ray tomography for nanoscale imaging. Read more.

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Generative design helps engineers explore design, delivering 30-50% faster time-to-market, 10-50% weight reductions, and up ...

Bazinga! The great physics problem that Sheldon Cooper and Leonard Hofstadter weren't able to crack in 12 years on the TV show, The Big Bang Theory, an expert from the University of Cincinnati has ...

While atmospheric turbulence is a familiar culprit of rough flights, the chaotic movement of turbulent flows remains an unsolved problem in physics. To gain insight into the system, a team of ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed an AI framework that tackles one of physics’ most complex computational challenges. Credit: Stock An AI ...

BUFFALO, N.Y. — Imagine zooming into matter at the quantum scale, where tiny particles can interact in more than a trillion configurations at once. If that sounds complicated, it is: Physicists often ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Three Opinion writers break down the former vice president’s book of excuses. By Michelle Cottle Carlos Lozada and Lydia Polgreen Produced by Vishakha Darbha Three Opinion writers weigh in on Kamala ...

Abstract: One of the primary objectives of 2-D inverse scattering problems (ISPs) is to accurately characterize the nature of an unknown tomographic domain based on the collected scattered field data.