Latest Articles for Materials Science

Machine learning enhances accuracy in predicting chemical properties using adaptive hybrid density functionals.

Exploring the impact of defects and polarons on lithium tantalate's properties.

Researchers investigate the surprising magnetic properties of infinite-layer nickelates.

Barium titanate nanocrystals offer unique properties for advanced electronic applications.

A look into how ARPES reveals electronic structure in various materials.

Learn how engineers deal with uncertainty for safer designs.

New methods improve current density mapping from magnetic field data.

Research sheds light on aluminum's properties in extreme conditions.

Convex Hull-aware Active Learning improves material stability assessments effectively.

Research highlights the potential of doped semiconductors in enhancing nonlinear optical responses.

Investigating neural networks' role in quantum phase transitions, particularly in the Bose-Hubbard Model.

A look into electron interactions in flat-band materials and their transport properties.

Exploring the potential of high-harmonic generation for advanced imaging and materials research.

Exploring powder behavior's impact on additive manufacturing quality.

A look into the special endoskeleton of sea urchins and its significance.

Exploring how electrons move in metals and its implications for technology.

Exploring self-consistency training's role in enhancing Hamiltonian prediction for molecular properties.

A look into the workings and benefits of MRAM technology in data storage.

This article explores how surface tension and gravity affect liquid behavior.

Utilizing automatic differentiation to optimize quantum systems and improve entanglement properties.

Study reveals how magnetization direction affects the properties of Co-based shandite CoSnS.

A look into charge transfer processes on surfaces using advanced methods.

Study reveals how displaced Drude peaks reflect complex electron interactions in materials.

Research enhances design of GNRs for efficient electronic circuits.

Carbon nanotube films control light emission for sensors and electronics.

This study examines the impact of Yttrium on TmVO4's properties.

Examining how magnetic fields affect resistance in certain materials.

New silicon wafer atomic cells show improved performance for quantum sensors.

This study examines methods for simulating quantum systems using the Tavis-Cummings model.

Research reveals how weakly interacting electrons can form dynamic states.

Examining the behavior and stability of crystal shapes in various conditions.

Exploring dielectric loss and its impact on superconducting qubit performance.

A study on non-Hermitian models reveals new insights into mobility edges.

Discover how Neural Network Potentials transform molecular simulations for researchers.

CeRhAs shows unique phase transitions with temperature and magnetic fields.

This article discusses TmVO's behavior and properties using nuclear magnetic resonance.

Explore the role of chiral vortices in electromagnetism and their implications.

Investigating the role of chirality and DMI in magnetic materials' behavior.

A fresh method for finding optimal atomic structures using complementary energy landscapes.

Research reveals how strain alters electron transport in graphene structures.