Physics - Materials Science

Research reveals crucial chemical interactions in sub-Neptune planets' atmospheres and interiors.

Exploring how magnetism influences the shape of ferromagnetic elastic ribbons.

New method speeds up DFT calculations, enhancing materials research.

Research reveals exciton behavior in polymer semiconductors for better electronic devices.

A new approach enhances predictions of material properties using self-supervised learning.

Researchers study gold/silver nanoalloys for enhanced properties in various applications.

MXenes and Janus MXenes show potential for efficient heat-to-electricity conversion.

PrSrMnO shows promise for efficient and eco-friendly cooling applications.

Scientists discover boundary-induced bct iron with unique magnetic properties.

Research on lithium ion movement could enhance battery performance and charging speeds.

A study of TMDs and their behavior with magnetic ions.

A new method combines computer predictions and human expertise to identify better dielectric materials.

A fresh approach improves the study of magnetic metals using advanced simulations.

Investigating twinned domains can enhance material performance in technology applications.

Researchers improve methods for creating high-quality nickelate films with unique properties.

Flutter instability impacts both engineering and natural systems, revealing important patterns.

A new method improves predictions in materials science by considering spin currents.

Benchmark study assesses GNN performance on out-of-distribution materials.

Research examines the structure and magnetic behavior of copper-substituted lead oxyapatite.

Examining TEP variations in Tl2201 superconductors at different temperatures and hole concentrations.

Study shows how iron layer thickness affects magnetic behavior in superlattices.

Analyzing the Jahn-Teller effect reveals key insights for material properties.

A look into nonlinear elasticity and its importance in various applications.

Exploring the potential of PSi NPs in imaging and drug delivery.

This study reveals how pressure influences Berry curvature and electrical properties in materials.

Combining mesoporous silicon and conductive polymers leads to innovative applications in energy and sensing.

Researchers uncover unique electronic properties of twisted bilayer graphene.

Research reveals new insights into dynamic bonds in stretchable rubber materials.

Investigating the vibrational properties of layered hybrid materials for electronics.

New insights into transition metal fluorides improve computational predictions.

Examining the structure and properties of polymer melts for various applications.

Research delves into the behavior of FeSeTe's superconductivity and electronic structure.

A look into the unique properties of ferrites and their applications.

New methods improve the search for solid-state ion conductors in energy storage.

Research improves accuracy of lattice thermal conductivity predictions using molecular dynamics and machine learning.

Machine learning streamlines the study of defects in materials, enhancing prediction accuracy.

Study reveals complex interactions between defects and polarons in rutile TiO(110).

This study reveals a new method for analyzing titanium microstructures with machine learning.

Investigating how missing atoms affect electronic properties in 2D materials.

This article discusses improvements in self-interaction correction methods within density-functional theory.