JPS Hot Topics

Using laser-excited photoelectron emission microscope (laser-PEEM) we found that the nematic stiffness in iron-based superconductors significantly increases as the systems become strange metals, suggesting that spin–orbital fluctuations enhance the stiffness of electronic nematicity.

This Special Topics edition of JPSJ details the capabilities and upgrades made to the instruments at JRR-3, since its shutdown after the Great East Japan Earthquake and 2011.

Newly developed neutron holography was applied to ferroelectric BaTiO₃ to evaluate oxygen displacement, providing important structural information for improving the ability of dielectric materials to store electricity.

This study clarifies the relationship between magnetic ordering and chiral gauge fields in the ferromagnetic Weyl semimetal Co₃Sn₂S₂, highlighting its spintronic potential using the topological magnetoelectric responses of Weyl fermions.

Strongly interacting quantum many-body states can be mapped to noninteracting quantum states, enabling a new quantum neural network called the Fermi machine to solve strongly correlated electron problems.

This study deals with the inverse elastic two-body quantum scattering problem using Volterra approximations and neural networks, offering a novel approach for solving complex nonlinear systems.

This study presents a general theory for constructing potentials supporting bound states in the continuum, offering a method for identifying such states in real quantum systems.

By constructing Kramers-Wannier-Wegner duality and Z₂ duality defects and deriving their crossing relations, this study presents the first examples of codimension one non-invertible symmetries in four-dimensional quantum field theories.

A novel convolutional neural network predicts phase transition temperatures from spin configurations without prior information about order parameters, paving the way for the discovery of new materials in condensed matter physics.