A computational physics approach to modeling rigid object motion using spring forces in Python. This focuses on how spring ...

Researchers combine numerical modeling with neural networks to show how nanodiamond aggregation, magnetic fields, and surface ...

The goal of this study was to accurately match experimental data obtained from compression tests in particle-based simulations of soil behavior. Thanks to a comprehensive sensitivity analysis, the ...

This figure illustrates the formation and numerical replication of barred olivine, a unique crystalline texture found in chondrules within meteorites. (a) A polarized light micrograph shows a natural ...

This Research Topic is Volume II of a series. The previous volumes can be found here: Natural Disaster Prediction Based on Experimental and Numerical ...

Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia Institute of Technology have performed the largest direct numerical ...

Chinese researchers have published a new AI-driven system designed to interpret scramjet combustion simulations at speeds ...

SIMCON today announced the launch of the Cadmould AI Solver, the world’s first Large Engineering Model for injection moulding. Co-developed with Emmi AI, the new transformer-based architecture ...

Keywords: ALE, LS-DYNA, earthquake-simulator tests, reactor vessels, reactor internals, seismic fluid-structure interaction, seismic isolation Abstract: This report describes physical and numerical ...