Latest Articles for Materials Science

New methods integrate multiple nanopores for faster and more accurate measurements.

Researchers utilize the Swap Monte Carlo method to study supercooled liquids and glasses.

Study reveals how radiation affects metal structure and performance under stress.

Research reveals key insights into spin lifetimes in hybrid organic-inorganic materials.

New models enhance prediction of material properties through atomic arrangements.

New techniques in optics enhance light frequency conversion efficiency.

NEXCERA shows promise for improving ultrastable laser cavities with low thermal noise.

Machine learning models improve predictions of molecular responses to ion irradiation.

A look at recent advancements in charge transfer research and computational methods.

Chern insulators exhibit unique electronic properties due to their topology.

New multi-core hollow core fibres improve data transmission with lower losses.

Exploring how charged particles move through materials with defects.

A look into logarithmic aging processes in materials and biological systems.

Research reveals challenges in CO and oxygen interaction with MoSe material.

This study assesses LLM performance in answering questions and predicting material properties.

An overview of the XY-plaquette model and its insights into fractons.

Exploring the unique properties and applications of lead halide perovskites in technology.

Research highlights the potential of antiferromagnets in new tech applications.

Research on active nematics reveals how patterns control flow behaviors.

A look at how processes influence the behavior of metallic alloys.

Research reveals how membranes can generate unique sound frequency patterns.

Study reveals strain effects on charge density waves and superconductivity in 2H-NbSe2.

Research on boron glass properties using machine learning techniques shows promise for future applications.

New studies reveal key interactions of alcohols in simplified models.

A look at how mathematical methods help predict material behavior under stress.

A new database accelerates the discovery of magnetic materials for various applications.

Researchers study EuAl's unique electronic behavior and magnetic transitions.

Research reveals efficient voltage pulse shapes for improved memory device performance.

Exploring the unique properties and behaviors of strange metals in electrical conduction.

New methods improve light manipulation with lithium niobate structures.

Combining variational methods with adiabatic techniques to improve quantum state preparation.

A new approach improves thermal conductivity predictions in dusty plasma systems.

Small polarons greatly impact charge movement in semiconductors and electronic devices.

Recent advancements in electric field management enhance Ga₂O₃ diode performance.

Researchers aim to identify new superconductors using binary hydrides.

Studying defects is key to improving halide perovskite device performance.

A novel approach improves understanding of branched macromolecules' structures and properties.

Exploring the unique behavior of chiral magnons in magnetic materials and their technological implications.

Research reveals how CPDs can transform electronic device efficiency and adaptability.

A study on elliptic quasivariational inequalities and their applications in contact mechanics.