Cross-disciplinary physics and related areas of science and technology

Statistical physics and thermodynamics

The statistical physics analysis of learning parametric models was revisited by combining the replica method with a grand canonical ensemble and variational approach, enabling prediction error estimation for learning systems with real data.

Dielectric, optical, and other properties in condensed matter

Electromagnetism, optics, acoustics, heat transfer, and classical and fluid mechanics

Electronic transport in condensed matter

Magnetic properties in condensed matter

Statistical physics and thermodynamics

This Special Topics edition of the Journal of the Physical Society of Japan discusses the recent progress and future directions for the rapidly progressing field of photodriven quantum spin systems.

Statistical physics and thermodynamics

Encoding fracture physics in neural networks provides fast and accurate estimates of the distribution of fragment sizes in shrinkage-induced cracking and facilitates Bayesian analysis for a deeper physical understanding of fractures.

Electron states in condensed matter

Magnetic properties in condensed matter

Statistical physics and thermodynamics

This study identifies physical processes behind the simple unified formula for orbital magnetic susceptibility in solids, including contributions from four different sources, offering new insights into the understanding of the nature of Bloch electrons in magnetic field.

Cross-disciplinary physics and related areas of science and technology

Statistical physics and thermodynamics

A novel synergy between an active matter model and a machine learning algorithm has been discovered, revealing the possibility of new phases in active matter.