John J. Hopfield and Geoffrey E. Hinton received the Nobel Prize in physics on Oct. 8, 2024, for their research on machine learning algorithms and neural networks that help computers learn. Their work ...

In the everyday world, governed by classical physics, the concept of equilibrium reigns. If you put a drop of ink into water, ...

Non-extensive statistical physics (NESP) provides a robust framework for characterising the complex, scale-invariant behaviour of seismic events. Extending beyond classical Boltzmann–Gibbs theory, ...

John Hopfield and Geoffrey Hinton were awarded the 2024 Nobel Prize in physics on Tuesday for their contributions to machine learning. Their research, which draws from statistical physics, helped ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics.

Statistical physics of spin systems provides a versatile framework for understanding phase transitions and critical phenomena by modelling collections of interacting discrete variables, or “spins”, ...

On Tuesday, the Royal Swedish Academy of Sciences awarded the 2024 Nobel Prize in Physics to John J. Hopfield of Princeton University and Geoffrey E. Hinton of the University of Toronto for their ...

Duke Quantum Center researchers use a neutral-atom platform to simulate unusual localization effects that could underpin robust quantum information storage.

Richard Easther and Frank Wang argue that a “Newton first” approach to undergraduate physics teaching can give students a better insight than focusing solely on “modern physics” The whole story Topics ...