Materials science

A multifunctional device produces a much-improved thermoelectric-driven transverse voltage by exploiting a thermoelectric current to drive an anomalous Hall effect in a ferromagnet.

Using resonant inelastic X-ray scattering, a new experimental window is opened on fundamental magnetic excitations in mesoscopic ferromagnets.

Over the past decade, the materials science community has fostered the development of materials databases from high-performance computation. While these databases have achieved great success, there are still several challenges to be addressed for the community to realize the full potential of the materials-by-design era.

A strategy for machine learning has been developed that exploits the fact that data are often collected in different ways with varying levels of accuracy. The approach was used to build a model that predicts a key property of materials.