Latest Articles for Computational Science

New methods provide solutions to complex functional differential equations in science.

FastTuckerPlus speeds up sparse tensor analysis using local search and GPU technology.

Improving eigenvalue estimation through new SoftFEM techniques.

Investigating the extreme conditions of quark-gluon plasma through heavy-ion collisions.

Improving accuracy in solving physics-related partial differential equations with adaptive sampling.

Machine learning improves artificial viscosity models for enhanced numerical simulations.

A new method improves solving complex equations in multiple dimensions.

Advancing methods for better modeling of fluid shocks in high-speed flows.

This study shows how neural networks enhance preconditioning for solving sparse linear systems.

A new approach improves the efficiency of estimating stabilization parameters in engineering.

A new method addresses the challenge of high-dimensional equations in physics and engineering.

A new framework improves gradient calculations for interconnected optimization problems.

Analyzing how noise affects topological orders and their potential in quantum technology.

A look at how living organisms process information and respond to their environments.

This study enhances fluid simulations using a generative adversarial network within multigrid methods.

Exploring how ions move and affect cell functions.

Examining snapshot methods for better modeling of complex systems over time.

A deep dive into the structure of twisted simplicial distributions and their relevance to quantum mechanics.

HELP framework improves prediction of essential genes in various biological contexts.

Researchers use GPUs to speed up quantum particle simulations effectively.

Exploring the significance of monotonicity and contractivity in reaction networks.

PINDER provides vital data for studying protein interactions and improving therapeutic methods.

Exploring PETScML's impact on scientific machine learning through second-order methods.

Combining large language models and message passing networks improves molecular property predictions.

Innovative method combines deep learning and advanced numerical techniques for solving conservation laws.

This article discusses the benefits of hybrid high-order methods with geometric multigrid for solving linear systems.

New methods enhance accuracy in electron interactions for chemistry and physics.

Combining scattered and regular nodes improves accuracy in complex problem solving.

New protocols aim to improve magic state production in quantum computers.

Learn how to tackle time-dependent equations using decomposition and composition techniques.

Learn about diploid genome assembly and the obstacles scientists face.

New methods enhance gravitational wave parameter estimation for neutron star mergers.

A method for solving complex equations in science and engineering.

Exploring filtering methods to improve ocean flow simulations using two-layer quasi-geostrophic equations.

A new approach improves the training of neural networks for solving differential equations.

KegAlign streamlines DNA sequence alignment for researchers worldwide.

A toolkit for evaluating quantum processing units through standard measurements.

This study assesses GPU benefits for CFD simulations in terms of speed, power, and costs.

Quasicrystals showcase unique atomic arrangements and intriguing properties.

New method enhances understanding of autoencoder outputs in fluid dynamics.