Latest Articles for Material Science

New methods improve TFLN device fabrication for photonics applications.

Learn the basics of solid and fluid mechanics.

This study explores using AI methods to predict how materials crack over time.

Examining how heat treatment alters the properties of ZX10 magnesium alloy.

Exploring the behavior of electrons in atoms through the Lorentz model.

FePc materials showcase unique magnetic behaviors with potential electronic applications.

YMnSn showcases unique magnetic behaviors due to its kagome lattice structure.

A new subroutine streamlines modeling of soft materials, enhancing research and applications.

This study reveals how hydrogels fail and their unique deformation properties.

Researchers study how light interacts with fibers, revealing unique properties.

This article examines how chromium affects the magnetic properties of calcium ruthenate.

Doping strontium ruthenate with chromium raises its Curie temperature, changing its properties.

A look into how materials react under pressure using mathematical approaches.

Research explores the potential of altermagnets with higher-order topological insulators.

Investigating the behavior of self-propelled particles in quantum mechanics.

New theory sheds light on OECT hysteresis and its applications.

New methods enhance predictions for composite materials in various industries.

Machine learning offers insights into the behavior of viscoelastic fluids across industries.

Studying defects in materials can lead to improved performance in various applications.

Recent research reveals new magnon modes in skyrmion lattices, paving the way for advanced technologies.

Researchers manipulate electron spins in quantum dots to improve quantum computing technologies.

Learn how to view hidden objects behind opaque materials using innovative optical techniques.

This study focuses on developing models for topological insulator materials.

Researchers improve resonator efficiency with single-crystal silicon carbide, reducing energy loss.

Discover how machine learning reshapes material behavior modeling.

Study reveals unique magnetic behaviors in chromium trihalides, impacting future technology.

Explore how compression affects beam vibration and design for optimal frequency.

This study examines geometric phase changes in two-level atoms near dielectric nanospheres under non-equilibrium conditions.

A look at how the HHO method improves material behavior analysis.

Examining how crystallization impacts Ge-rich GeTe alloys in phase change memories.

New designs improve optical traps for manipulating tiny particles.

G centers in silicon show promise for advancements in quantum technology.

A study on improving material shock response predictions using impulse-based methods.

Study reveals key behaviors of exciton-polaritons for future technology advancements.

A new model improves dielectric elastomer applications in soft robotics.

Examining the behavior of active polymers under varying conditions of activity and inertia.

Examining how electric and magnetic waveguides affect electron behavior in graphene.

This study presents a model analyzing how fractures develop in rocks under heat and pressure.

Discover how advancements in materials and design improve magnetic field concentrators.

Exploring current behaviors in normal metal-superconductor junctions through Andreev reflections.