Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.

Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature. By ...

Tiny grains of dust floating inside a glowing plasma should, according to decades of theory, push and pull on each other in ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...

We are looking for a Doctoral Researcher for Quantum-inspired tensor network machine learning solvers for super-moiré van der Waals materials.

Mechanical engineering has traditionally relied on physics, mathematics, and empirical knowledge to design and optimize systems. Machine learning (ML) introduces powerful tools that can complement ...

Parisa Khodabakhshi is an assistant professor of mechanical engineering and mechanics in Lehigh University’s P.C. Rossin College of Engineering and Applied Science. Prior to joining the Lehigh faculty ...

Hydrology experts at the U.S. Department of Energy's (DOE's) Oak Ridge National Laboratory (ORNL) used artificial ...

Physicists have used a machine learning approach to reveal unexpected details about how particles interact in complex systems. Their work focuses on ...