Physics - Materials Science

New findings show disorder increases Curie temperature in LaCrGe, defying expectations.

Study reveals how crystal shape impacts magnetism in CePdAl.

This study examines the unique Fermi surface properties of the material CoSi.

High-Resolution Atomic Force Microscopy aids in precise molecular identification.

Research highlights the effects of surface treatments on niobium superconductors' magnetic properties.

Researchers identify T center-like defects in silicon for advanced quantum applications.

Discover the unique properties and behaviors of breathing pyrochlore magnets.

Explore the phases and behaviors of solid nitrogen across varying conditions.

Study reveals unique magnetic properties of LaSrCoNbO with potential tech applications.

This article reviews the properties of the Cr2O3-Pt interface for future technologies.

Investigating how Wannier functions reveal material conductivity and insulating properties.

Research on twisted bilayer BaTiO reveals unique electronic properties for advanced applications.

Exploring MXenes as efficient photocatalysts for sustainable hydrogen generation.

A new method merges deep learning flexibility with physical law compliance.

TbSi and TbSiGe exhibit unique magnetic behaviors useful for cooling technology.

New techniques in STEM lead to better imaging of materials at an atomic level.

Exploring the role of machine learning in predicting material behaviors and challenges faced.

New machine learning approach enhances simulations of metal electrode interactions with electrolytes.

Research reveals scandium alloyed aluminum nitride's potential in electro-optic applications.

A new model enhances the discovery of materials with unique dielectric properties.

New silver precursor enhances electron beam writing for nanoscale structures.

Research on TMOFs aims to improve sodium-ion battery performance and stability.

Research on tunable materials enhances the study of Berry physics and its applications.

Scientists investigate how electrons and phonons influence materials' properties and applications.

This article discusses the integration of scientific principles in deep learning for better material predictions.

Discover how Response Matching transforms material and molecule generation.

Investigating the unique electronic behaviors of twisted bilayer WTe under different conditions.

Studying excitons in twisted hBN reveals new light-emitting properties.

Research reveals unique interactions in magnetism that could change technology.

Researchers are enhancing ion flow in ceramics for better energy technologies.

Researchers are using quantum algorithms to study electron behaviors in complex materials.

A look into the spontaneous exchange bias effect and its implications in magnetism.

Research reveals how phonon interactions shape magnetic properties in unique materials.

Research reveals connections between charge density waves and Kramers nodal lines in materials.

Innovative techniques improve accuracy in material analysis through electron energy loss spectroscopy.

Researchers are developing new materials to safely contain nuclear waste using advanced technology.

Study reveals impact of impurities on thermal Hall effect in Weyl superconductors.

A tool designed to streamline gathering material properties from scientific literature.

Innovative strategies enhance material predictions using machine learning surrogates.

New studies challenge the magnetic behavior of RuO2, suggesting it lacks long-range order.