Latest Articles for Computational Physics

Exploring the optimized effective potential method for accurate force calculations in materials.

Exploring the interactions influencing electron pair formations in layered materials.

This article explores stout smearing and Wilson flow in lattice gauge theory.

This article examines moduli stabilization in string theory through the Landau-Ginzburg model.

An overview of distribution amplitudes and their role in particle physics.

New methods improve control of quantum systems and enhance analysis efficiency.

A detailed study of doped perylene's electronic structure and behaviors.

This study investigates how strain affects the electronic properties of monolayer MoS.

Exploring the chiral separation effect and its implications in high-energy physics.

A new system enhances communication and sensing using quantum principles.

Exploring the behaviors of confined spins in quantum systems.

Examining the dynamics of ferromagnetic materials through advanced modeling techniques.

A software package for simulating non-Markovian open quantum systems has been developed.

New algorithms improve calculations in spin foam models for quantum gravity.

Examining methods to efficiently solve the generalized Stokes problem in fluid flow.

Research reveals how specific points affect electricity flow in quantum materials.

Innovative techniques improve understanding of electron behaviors and interactions in materials.

New neural network architectures improve stability and accuracy in solving partial differential equations.

A new approach for nonlinear systems enhances modeling efficiency and accuracy.

Presenting a systematic input scheme for many-boson Hamiltonians using quantum computing.

Delving into many-body localization and energy level behavior in quantum physics.

An overview of VQE's performance factors and future research directions.

A new method uses graph neural networks to improve graph coloring efficiency.

New methods improve modeling of quantum systems and their environmental interactions.

Study reveals unique magnetic features of kagome antiferromagnets, focusing on the 1/9 magnetization plateau.

This study examines properties of heavy-light mesons using lattice QCD methods.

A new Lattice Boltzmann formulation enhances simulations in linear elastodynamics.

Researchers use machine learning to create data for particle physics more efficiently.

New method improves understanding of nuclear reactions and interactions.

New quantization conditions enhance understanding of particle interactions in lattice QCD.

HoSZp allows efficient computations on compressed scientific data, improving analysis workflows.

N²AMD framework enhances accuracy and efficiency in studying material dynamics.

This article discusses challenges in calculating three-loop form factors in particle physics.

A look at new methods for solving complex quantum few-body systems.

New methods improve accuracy in modeling rarefied gas flows with moving boundaries.

Study of quantum systems revealing transitions based on particle arrangements and interactions.

Research reveals how particle behavior varies with quantum torus shapes.

Investigating spin chains reveals complexities in magnetic behavior and quantum states.

Improving Helmholtz equation solutions with multipreconditioning and sweeping methods.

A new method simplifies the study of open quantum systems through bundled measurements.