Statistical physics and message passing inference represent two interwoven strands of modern quantitative research. While statistical physics examines how macroscopic phenomena emerge from the ...

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 ...

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 ...

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.

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 ...