Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

In their research, Hasenfratz, Catterall, and Butt used renormalization group (RG) theory to study the more complex phase ...

Researchers at the Institute of Industrial Science, The University of Tokyo and George Mason University's College of Science ...

Complex network theory has become a key analytical framework in modern physics for studying structure, dynamics, and emergent behaviour in complex systems.

Quantum mechanics is both the most powerful theory physicists have ever devised and the most baffling. On the one hand, countless experiments have confirmed its predictions; the theory undergirds ...

A team of physicists from the University at Buffalo has developed a user-friendly method that allows researchers to solve complex quantum problems, once thought to require massive supercomputers, on ...

The IAEA has published “Radiation Oncology Physics: a handbook for teachers and students” aiming at providing the minimum level of knowledge expected of a medical physicist specializing in radiation ...

Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and ...