Latest Articles for Computational Modeling

Discover how reduced-order modeling streamlines the analysis of complex systems.

New modeling techniques improve predictions in complex dynamical systems.

New techniques improve predictions for complex fluid behavior in various industries.

New mesh-free methods enhance the understanding of fluid flow stability.

New PBMG method improves sampling efficiency in lattice models and critical regions.

Introducing a boundary-preserving scheme for accurate SDE simulations.

Understanding dislocations is crucial for improving metal performance under stress.

This work enhances design approaches for fluid-structure interaction problems involving significant deformations.

Study how cell interactions shape tissues and organs.

A new method simplifies predictions for elastoplastic materials experiencing cyclic stress.

Study reveals tradeoff between synaptic performance and energy efficiency.

This article explores how iron ions impact energy transport in stars.

New models improve predictions of metal ion locations in proteins.

This study compares models predicting silver electrode behavior in bromide solutions using cyclic voltammetry.

Discover how multi-level neural networks improve solutions to complex mathematical equations.

Study reveals methods to determine particle location in living cell clusters.

A novel approach combines coarse and fine-scale solutions for accurate predictions.

A new method merges atomistic and continuum modeling for better material insights.

A new model streamlines simulations of perovskite oxides for material science.

Loimos simulates disease spread in communities for better outbreak management.

A novel SPH approach improves simulation for plates and shells under deformation.

Using machine learning to improve efficiency in chemical transport models for air quality.

This article examines key factors affecting turbulent flow simulations over a Gaussian bump.

Active matter reveals intricate behaviors during phase transitions, guiding research in various fields.

Research on NV centers in diamonds shows promise for better quantum control.

A new tool for improving fluid mechanics research through Lagrangian methods.

Exploring new methods to enhance analytic continuation in quantum many-body physics.

New model improves accuracy in predicting rotating turbulence effects.

A closer look at the Ising model and its implications in material science.

Advancements in using machine learning for particle behavior prediction in the BGK model.

Researchers develop efficient models for plasma turbulence to improve fusion efficiency.

Research reveals key factors in T-ALL development involving genetic mutations and thymic environment.

Research highlights improved efficiency in aerospace design through multi-fidelity reduced-order models.

CC-Tempo enhances predictions of cell fates through gene expression and communication.

A new method improves analysis of granular flows using machine learning techniques.

New methods enhance predictions of fluid behavior in complex conditions.

Discover the complexity of relationships in higher-order networks and their applications.

Research explores advanced methods to understand fish swimming and improve design of aquatic robots.

A study on modeling elastic bodies under friction for improved engineering accuracy.

A new method improves efficiency in studying microstructure changes in materials.