Latest Articles for Materials Science

Researchers study strain effects in bismuth for advanced electronic applications.

Exploring the unique properties of Weyl semimetals through the study of ReO.

This study examines how lanthanum affects the mixed-valence state of SmB.

Exploring the connection between superconductivity and improper orders in materials.

Exploring how biological materials change shape and behave under stress.

Examining how heat transfers between closely spaced metal surfaces.

Investigating frustrated spin systems using tensor networks reveals complex behaviors and phase transitions.

Discover how piezoelectric actuators transform electrical energy into precise mechanical movements.

MatSci ML standardizes datasets for efficient materials modeling using machine learning techniques.

Exploring the unique properties and potential of magic-angle twisted bilayer graphene.

Breather solutions reveal complex behavior in nonlinear systems through unique oscillating patterns.

Investigating the role of multifractality in quantum particle behavior and applications.

Research reveals exciting properties of MnSe's wurtzite phase.

Researching how disorder affects electron behavior and localized states.

Research shows machine learning can predict non-Hermitian phase boundaries using Hermitian data.

2D materials exhibit unique properties with numerous applications in electronics and quantum computing.

Research reveals complex magnetic behaviors in rare-earth monopnictides.

New technology enhances the study of magnetic fields in science.

This research examines ion arrangements in the Electric Double Layer near charged surfaces.

Examining complex interactions between light and matter in strong coupling scenarios.

A new method improves drug and material design efficiency.

Machine learning improves predictions of semiconductor defects for better material performance.

A study of electron behavior in multi-path Aharonov-Bohm interferometers made from graphene.

This study enhances extractant design methods for better metal recovery efficiency.

A new model streamlines simulations of perovskite oxides for material science.

Research reveals promising materials for safer and efficient solar energy solutions.

New basis sets improve calculations for heavy elements, enhancing material property predictions.

Exploring the potential of halide double perovskites in solar cells and LEDs.

Exploring the implications of exponential potentials in quantum systems.

Examining entangled graphs and weaves reveals their design and stability.

A new method improves the prediction of molecular shapes using machine learning.

A study on hardness and elasticity of Cu-Cr composites using nanoindentation.

Research highlights the use of MPNNs to classify materials and predict properties.

Synthetic data generation improves machine learning for atomic-level material analysis.

A new method transforms how we study evolving surfaces.

This article covers key aspects of laser physics and its various applications.

Study reveals how cavity interactions affect Majorana states in topological superconductors.

Research reveals how twisted layers alter electronic properties and enable fractional quantum effects.

A look into the nonlinear Hall effect and its implications for materials science.

Research on bismuthene reveals how magnetic impurities influence electrical properties.