Latest Articles for Computational Modeling

A new FFT-based method improves the study of materials with complex microstructures.

A new method simplifies complex power systems for better analysis.

Introducing SMoRe GloS for better analysis of complex systems with agent-based models.

New methods improve efficiency in solving complex equations through data-driven models.

A review of the Bond Polarizability Model's effectiveness in Raman spectroscopy analysis.

Researchers leverage AI to improve materials modeling through a new deep learning approach.

A new interface enhances molecular dynamics simulations under realistic conditions.

BrainUnit enhances AI research by integrating physical units into scientific computing.

A method for accurate modeling of uncertainties in science and engineering.

New method improves simulation accuracy for complex fluid interactions.

New methods improve efficiency in modeling contact mechanics challenges.

New approach improves turbulence simulation using deep learning and physics-based methods.

Research on moment methods enhances understanding of particle behavior in gases.

A study on using active learning to enhance DNN surrogates for diffusion equations.

New algorithms enhance sampling from known and unknown distributions for practical applications.

A study on using neural networks for simulating material phase dynamics.

Study of Doradus stars unlocks insights into stellar evolution and internal structures.

Introducing SepONet to enhance efficiency in operator learning for complex systems.

A new model simplifies the study of swimming across different species and sizes.

HERMES predicts the impact of protein mutations on stability and function using 3D structures.

A look at non-linear behaviors and reduced-order models in aircraft design.

Scientists examine fractional Chern insulators and their role in electronic behavior.

This article explores methods for modeling interactions of charged particles in plasmas.

Study reveals decision-making in tiny organisms for efficient swimming.

A new method improves fluid simulations with simpler grids and enhanced accuracy.

Research refines model connections in nuclear collisions for better predictions.

Research focuses on enhancing NCM materials in lithium-ion batteries through advanced doping techniques.

New method improves accuracy in simulating plasma and neutral particle interactions.

A simpler and more accurate approach to simulate two-phase fluid flows.

This study examines turbulence in fluid flow between two rotating spheres.

A new approach enhances accuracy in modeling tectonic movements and geological processes.

A study on how fluid particles move while preserving volume.

This study evaluates scoring functions for predicting protein interactions based on physical features.

New modeling techniques enhance rocket propulsion systems through efficient data analysis.

Researchers simulate tiny molecular structures acting as mechanical switches for advanced applications.

Examining how active particles behave when consuming chemicals in two distinct regimes.

Research presents a model addressing phase separation in mixed materials with boundary effects.

Investigating the complex phases of antiferromagnetic materials during melting.

New method improves predictions in turbulent fluid dynamics using reduced complexity.

Comparing Finite Volume and Finite Difference methods for seismic wave simulations.