Latest Articles for Computational Methods

GenCFD uses AI to improve fluid flow computation, enhancing speed and accuracy.

Qudits are changing the landscape of quantum computing by enabling superior information processing.

New techniques streamline the evaluation of complex Feynman integrals using supercomputers.

Study explores how strain affects the magnetic properties of 1T-VSe.

This article explores edge-bicolored graphs and their significance in mathematics and physics.

Introducing grid point approximation for handling large datasets effectively.

Examining the merging of specialized machine learning models and their collaboration.

A program reduces complex tensor integrals for particle interaction calculations.

A simplified look at how LQFT helps us study tiny particles.

A fresh look at the quantum Hopfield model reveals new insights.

Discovering new phases in Kondo lattices through spins and simulations.

KANs offer flexibility and efficiency in machine learning compared to MLPs.

Learn how the LOD method simplifies complex multiscale challenges.

Exploring new methods to analyze complex materials using Density Functional Theory.

A new method streamlines material calculations for better and faster results.

Researchers tackle complexities in stellarator design using magnetic axis exploration.

Researchers enhance quantum simulation using TRG and HOTRG methods.

Learn how arithmetic sampling improves text generation in language models.

A fresh approach improves dynamic mode decomposition for noisy fluid flow data.

Scientists use eigenpair-splitting to solve quantum challenges efficiently.

Scientists study Rydberg atoms to unlock secrets of quantum phases and transitions.

This article explores how quantum annealing aids in understanding nuclear structures.

Researchers utilize deep learning to predict properties of photonic crystals efficiently.

A look at weight-averaged model-merging and its impact on deep learning performance.

A look at computational methods in category theory and their applications.

A method to fix measurement errors in quantum computing, enhancing reliability.

A new method simplifies training for energy-efficient spiking neural networks.

A look at phase-field modeling and the importance of numerical stability in simulations.

A new method streamlines fitting experimental data for physicists.

New kernel improves Gaussian processes for accurate data predictions.

Learn how to uncover system behavior through data patterns and model identification.

An exploration of how CAMPS reduces entanglement in quantum spin chains.

This study presents a new method for calculating energy levels using the Dirac equation.

Discover how a new method speeds up image recognition.

New basis set vDZP offers quick and accurate results in quantum chemistry calculations.

Simplifying complex calculations in high-dimensional mathematics with a fresh cubature method.

A look into controlling systems with parabolic partial differential equations.

Machine learning improves the speed and accuracy of phase diagram construction for materials.

Learn about the unique properties of calcium isotopes and their significance.

Scientists use reinforcement learning to improve connections between quantum particles.