Latest Articles for Physics

Exploring how scalar conservation laws apply to traffic flow analysis.

Examining how matter fields localize on thin and thick branes.

Research into iron-based superconductors reveals fascinating properties and behaviors under varying conditions.

New insights into thermal conductivity in quark-gluon plasma and its impact.

A look into wave equations and methods for analyzing their behaviors.

Explore how spin point groups influence material properties and applications.

Researchers study rare events using novel methods to improve simulations.

Researchers create unidirectional spin waves using moving magnetic fields.

A new algorithm automates the evaluation of complex oscillatory integrals.

Introducing an efficient method for tackling complex conservation laws on irregular surfaces.

Exploring how active noise enhances memory retrieval in oscillator-based models.

Exploring the Coon amplitude and its role in string theory interactions.

Scientists analyze jets and photons from proton collisions to reveal fundamental forces.

Recent advances improve the measurement of light's electric fields and their properties.

A look into how quantum annealers address spin-glass problems.

Exploring how measurements affect qubit behavior in quantum circuits.

This study introduces Quantum GravitoElectromagnetic Dynamics, aiming to connect gravity and quantum mechanics.

Examining control methods in networks of quantum systems with a focus on symmetry.

A study on stick-slip dynamics in granular materials with varied grain shapes.

Explore how Lorentzian geometry shapes our understanding of space, time, and the universe.

Examines how moving electrons emit radiation linked to Fermi-Dirac distribution.

A fresh theory improves understanding of paired electron behavior in superconductors.

Explore how past experiences shape the behavior of non-equilibrium systems.

A method to solve block lower triangular Toeplitz systems efficiently using preconditioned MINRES.

Study reveals insights on melting processes using unsupervised machine learning techniques.

Tangent categories connect geometry, algebra, and more through systematic study of change.

An overview of integrable operators and their significance in various fields.

Exploring the link between knots and quantum invariants.

Examining shapes that minimize area within complex hyperbolic geometries.

Learn how to tackle inverse coefficient problems using Neumann series.

This study examines ergodic behavior in modified flows on unique surfaces.

A look into how linked twist maps show ergodic behavior and shear parameters.

This article discusses how particles move in unpredictable ways within biological systems.

Study reveals how energy loss impacts the behavior of spin-chains in quantum materials.

This article discusses non-parametric tests for analyzing symmetry in data.

Study reveals how ion bombardment alters magnetic behavior in manganese arsenide.

Monte Carlo methods enhance predictions in physics, addressing challenges in simulations and parameter optimization.

New methods improve explainability and performance in multi-view learning for various fields.

Research advances in modeling complex electron behaviors in materials are crucial.

Exploring how scattering, entanglement, and mutual information connect in particle physics.