Latest Articles for Computational Modeling

Research aims to improve models of retinal behavior in vision.

Netflux simplifies biological modeling for researchers and students alike.

Rational neural networks enhance fluid dynamics accuracy and efficiency in simulations.

Introducing a new method for Biot's consolidation model using lattice Boltzmann techniques.

Exploring liquid-liquid phase transitions in protein solutions and their implications.

New approaches improve modeling of physical behaviors in varying geometries.

Research reveals how warm dense hydrogen conducts electricity under extreme conditions.

This article discusses a new method for improved simulations in magnetohydrodynamics.

A look at how mathematical methods help predict material behavior under stress.

Learn how merged Voronoi-Delaunay grids improve boundary value problem solutions in complex domains.

A new method improves material property predictions using advanced techniques.

Researchers enhance superconducting quantum circuits for advanced technology applications.

SEE-ME improves pose estimation by considering human interactions in virtual spaces.

Annealing Flow offers improved sampling techniques for complex distributions in various fields.

New tools help improve the handling of sudden changes in fluid simulations.

Research reveals how the brain adapts motor skills through neural dynamics.

incompressibleFoam offers innovative solutions for simulating fluid flows accurately.

A new model predicts material failure accurately using vast data and advanced techniques.

A fresh approach to studying neutrinos and their interactions with nuclei.

Using hypergraphs to improve predictions of material behaviors.

Study reveals how collisions affect particle confinement in magnetic mirrors.

ALKPU improves molecular dynamics simulations by efficiently selecting data points for model training.

Discover how adversarial autoencoders enhance machine learning models with limited data.

Discover how lipid membranes protect and regulate cell functions.

Combining machine learning with fluid dynamics improves accuracy and efficiency in simulations.

Explore the fascinating behavior of fluids between rotating surfaces.

Discover how universal MLIPs improve material property predictions.

A fresh activation function enhances neural networks for solving complex physical problems.