Latest Articles for Computational Physics

A new resource aids researchers in comparing Monte Carlo models with experimental data.

Recent experiments and calculations shed light on the muon's magnetic moment and its discrepancies.

Examining how to achieve rapid transformations in quantum systems effectively.

Recent improvements in LBM enhance fluid simulation accuracy and usability.

Research sheds light on phase transitions using the four-dimensional Ising model.

A new solver method improves efficiency for Cahn-Hilliard equation in materials science.

Improving efficiency in quantum simulations by focusing on low-energy states.

Combining tensor networks and quantum circuits improves accuracy in simulating complex systems.

A study on optimizing tight-binding models for electronic properties of Janus TMDCs.

New insights into particle interactions through -wave scattering studies.

A systematic approach to create multi-particle operators considering cubic symmetry.

Exploring the link between real and imaginary time in quantum systems.

Exploring recent advancements in DFT to enhance metal simulations under varying conditions.

New methods enhance understanding of fluid dynamics in extreme nuclear conditions.

New methods enhance efficiency in electronic structure calculations.

Examining how quantum systems reach thermal equilibrium and the factors influencing this process.

Introducing a method to simplify boundary condition calculations for the Schrödinger equation.

A new method sheds light on the behavior of many-electron systems over time.

Innovative methods improve ground state energy calculations in quantum systems.

Exploring new quantum methods to tackle lattice gauge theories' challenges.

This study examines how transition metal doping alters TiS's magnetic and electronic properties.

A novel method to solve the BGK model using neural networks.

An overview of chiral edges and their relevance in quantum mechanics.

Pymablock revolutionizes how researchers analyze complex quantum systems efficiently.

New findings reveal important aspects of gluon interactions and mass generation in QCD.

Explore how fermionic tensor networks deepen our knowledge of quantum systems and particle interactions.

New methods improve modeling of quantum and classical particle behavior.

Improving the accuracy of numerical methods for phase separation analysis.

Exploring a semi-analytical approach to DGLAP equations in particle physics.

An analysis of Gaussian wave packet behavior across various potential fields and methods.

Study reveals how atom positions in FeCo alloys affect magnetic energy dissipation.

We develop methods for simulating complex multi-level systems using qubit-based quantum simulators.

This study examines electric currents in QCD influenced by magnetic fields.

A new method improves tensor network arrangements for better quantum state modeling.

A look at methods to manage errors in quantum computations for practical applications.

A blend of methods enhances accuracy in studying quantum systems.

This research explores how quarks and gluons shape proton properties using Generalized Parton Distributions.

Research reveals how strong interactions affect particle behavior in ultracold atomic systems.

Examining how self-heating impacts performance in advanced electronic devices.

Examining how randomness affects quantum chaos in Ising models.