Latest Articles for Materials Science

Research reveals how temperature alters structures in metal nanoclusters.

New methods enhance imaging at the nanoscale using quantum dots.

Examining how high-pressure torsion alters Eurofer-97 for better performance in reactors.

Examining how electric current can change magnetization in advanced materials.

Researchers analyze bilayer nickelates for advancements in superconducting technology.

Research highlights the unique properties of topological insulators using cold atoms.

Innovative materials designed for specific functions using precise arrangements.

Exploring how point defects influence the thermal conductivity of thorium dioxide in nuclear applications.

Research reveals how charge-density waves influence superconductivity in high-temperature materials.

Researchers enhance graphene performance for quantum computing using carbon isotopes.

Introducing a new integrated THz band-stop filter for enhanced communication technology.

A new hybrid approach improves elasto-plastic problem analysis.

This article explores transition metal halides and their intriguing properties in honeycomb arrangements.

Research reveals methods to enhance niobium cavity efficiency in particle accelerators.

Examining the unique properties of lasing in flat band systems.

Research on carbon nanotubes shows promise for particle acceleration applications.

This study presents a model for symmetry-breaking in nonlinear systems.

Examining the relationship between flat bands and magnetic properties in specific materials.

A new program streamlines the analysis of SEM images for nanoparticle detection.

Exploring the cooling potential of Mn6Sn6 materials for sustainable refrigeration.

Research on topological insulators and magnetic materials reveals new electronic possibilities.

A deep look into the classification of electronic excitations and new methods.

A new method enhances our understanding of semiconductors at varying temperatures.

A look into the behavior of fluid flow in confined spaces.

New technique enhances imaging of twist angles in layered materials.

Discover the intriguing topological features of carbon's various allotropes.

This study reveals how electric fields enhance magnetism at CMO/CRO interfaces.

NV centers in diamond offer potential benefits for quantum sensing and communication.

Researchers combine classical methods with machine learning for better molecular predictions.

Neural networks enhance predictions of atomic interactions in scientific research.

New approach improves glass property predictions with machine learning and expert knowledge.

Research reveals higher dissociation barriers on copper, challenging previous studies.

Recent studies reveal cracks can grow faster than previously believed.

Exploring the potential of magnetoelastic thin shells in engineering applications.

Learn how niobium cavities improve energy storage in accelerators.

Understanding dislocations is crucial for improving metal performance under stress.

A new framework predicts fatigue crack growth in engineering structures to enhance safety.

Exploring the potential of shift current in photovoltaic materials for solar energy.

Exploring excitons, spin states, and their impact on semiconductor properties.

An overview of how charged polymers interact with neutral particles.