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 ...
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 ...
Hosted on MSN
AI tensor network-based computational framework cracks a 100-year-old physics challenge
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.
In a recent paper, SFI Professor David Wolpert, SFI Fractal Faculty member Carlo Rovelli, and physicist Jordan Scharnhorst ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results