An international team of researchers has developed a new method for parameterizing machine-learning interatomic potentials (MLIP) to simulate magnetic materials, making the prediction of their ...

With an ultimate goal of patient safety and clinical excellence for all our healthcare learners, the Simulation Core employs various validated simulation methods to ensure realistic learning ...

SimScale integrates Pamics solver to deliver meshless fluid dynamics simulation, accelerating workflows by 10-20x for engineers ...

Composites have become key materials for strategic industries such as aerospace, new energy vehicles, and high-end equipment due to their superior specific ...

Zephyr Drone Simulator (ZDS) announced this week that it has integrated a new payload delivery and retrieval test method into its simulation platform, giving public safety drone pilots a standardized ...

A new technical paper titled “Multiscale Simulation and Machine Learning Facilitated Design of Two-Dimensional Nanomaterials-Based Tunnel Field-Effect Transistors: A Review” was published by ...

Despite the huge technological interest in boron nitride (BN), understanding the relative stability of its different structural phases remains a challenge owing to conflicting results from experiments ...

New integration enables engineers to solve complex fluid dynamics problems 10-20x faster, transforming simulation into a scalable source of synthetic data for Engineering AI and Digital Twins.