Latest Articles for Physics

Machine learning enhances sampling in lattice quantum chromodynamics for better predictions.

Research reveals interactions between superconductivity and quantum Hall states using advanced technology.

A clear look at the importance of measurement postulates in quantum mechanics.

A look into asymptotically complex hyperbolic manifolds and their wave dynamics.

A look at the Monge-Ampère system and its applications across various fields.

Exploring the interaction between BICs and EPs for advancing technology.

A fresh approach to understanding energy levels in complex physics systems.

A new quaternionic approach to studying oscillator synchronization.

Jacobi functions are vital in various mathematical fields such as numerical methods and differential equations.

Exploring quasiperiodic functions and their unique level lines in mathematical physics.

A machine learning method enhances the reconstruction of particle events in high-energy physics.

Big Jacobi polynomials have unique properties essential for various mathematical applications.

Exploring the relationships and limits of affine configurations in mathematics.

This article examines the eigenvalue distribution of large antisymmetric random matrices.

This study introduces a new approach to studying metastable states in Ising models.

Research advances in neutron interferometry enhance material analysis at small scales.

New techniques improve solving Helmholtz equations in various fields.

Exploring the significance of ionization potentials in chemistry and physics.

A detailed look into magnetic quadrupole moments and parity-violating polarization in Lutetium.

A look into the role of phase transitions in the universe's evolution.

Research reveals how particles organize themselves using vibrational forces in fluids.

New techniques enhance Eulerian SPH performance in fluid flow analysis.

Rogue waves pose significant risks, causing concern in maritime and scientific fields.

A look at how star systems change over time under gravity.

New methods reveal potential of topological phases for technology and research.

A look at how strain affects bilayer graphene's unique electronic features.

Exploring the use of deep learning in modeling Hamiltonian systems.

Exploring the role and applications of Hermite polynomials across various fields.

Examining heat transfer and sound wave behavior in polyatomic gases.

A new method combines data-driven techniques with physical principles for better modeling.

Exploring recent advancements in topological phases and their implications.

Exploring how time delays affect particle behavior in different potentials.

Researchers develop new methods to better describe quantum damped harmonic oscillators.

Exploring horospheres reveals insights into negatively curved geometry and its implications.

This material exhibits unique properties that may transform technology.

Examining how mechanical strain and magnetic fields affect carbon-based materials.

A look into how memory shapes random movements in the elephant random walk.

A look at how renormalization shaped physics over the decades.

Exploring helicity's role in particle movement and its potential technological applications.

Explore the connections between the Moonshine module and theoretical physics.