In a recent paper, SFI Professor David Wolpert, SFI Fractal Faculty member Carlo Rovelli, and physicist Jordan Scharnhorst ...

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

Thermodynamics and statistical physics provide a unified framework linking the macroscopic laws of energy, work, and entropy to the microscopic motions of particles. Thermodynamics, rooted in the laws ...

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.

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 ...

A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui, Research Assistant Professor from the Department of Physics at the Hong ...