Latest Articles for Materials Science

Synthetic data enhances machine learning for crystal analysis in materials science.

Investigating the photogalvanic effects in multi-Weyl semimetals reveals their potential for innovative applications.

Discover how unique materials challenge traditional heat transfer concepts.

New methods enhance accuracy and speed in atomic simulations.

Research unveils the relationship between quasiparticle bands and superconductivity.

Research on FeGa alloy reveals new ways to harness the anomalous Nernst effect.

Recent findings on Chern bands reveal unique materials with potential technological applications.

Study reveals how reaction delays influence patterns in active particles.

Recent studies reveal bismuth's unique behavior under extreme pressure conditions.

A look into the unique behaviors and applications of viscoelastic materials.

Research explores controlling light emission using nanoantennas and rare earth ions.

A look into how kinks and antikinks behave in nonlinear dynamics.

AiiDA-defects streamlines characterizing defects in materials for improved performance.

MTJs, especially STT-MTJs, promise advanced performance in storage and computing.

This article examines valley splitting in silicon quantum dots and its implications for quantum computing.

New methods using quantum dots reveal insights into electrical charge movement.

Exploring how NbSe₂ interacts with light to create electricity.

Researchers investigate friction between gold clusters and graphite at the nanoscale.

New quantum algorithm improves density of states calculations in many-body systems.

A novel approach enhances simulations of X-ray scattering for material analysis.

This article discusses how noise impacts spin-1 centers and solutions to improve performance.

Investigating how high tellurium levels alter silicon's electrical properties.

Fe SiSe shows interesting magnetic behavior with a sawtooth lattice structure.

This study examines electron behavior using the Hubbard model in two-dimensional materials.

This article analyzes non-Hermitian Hamiltonians dependent on frequency and momentum.

A new machine learning model enhances DFT calculations for better material predictions.

Research highlights the role of excitons in enhancing organic semiconductor devices.

Turbulence significantly affects how powder particles gain and distribute charge.

Research reveals unique properties of altermagnets and their interaction with superconductors.

Examining how antiferromagnets influence superconductivity through unique mechanisms.

Exploring the significance of hydrodynamic electronic transport in advanced materials.

A new model uses machine learning to estimate magnetic interactions in materials.

Research on FeCoSi reveals unique properties of metal-insulator transition and magnetism.

This study examines how gravity affects colloidal gel formation and stability.

Examining how recrystallization affects Zircaloy-4 in nuclear applications.

A new framework reveals unexpected catalyst behaviors in rapidly changing conditions.

Research on Bi-Sb alloys reveals potential for efficient spintronic devices.

Weyl semi-metals exhibit unique properties, with potential uses in advanced technologies.

This article highlights new qubit designs using Anderson impurities and superconductors.

A look into how voltage changes affect supercurrents in Josephson junctions.