A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

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 ...

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 ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

Trends in RF technology are moving to much more complex, larger, denser, and dynamic structures than ever before. This is a natural evolution of RF technology as more techniques are developed to solve ...

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 ...

This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

“This paper analyzes TCAD ESD simulation for both HBM zapping using real-world HBM ESD waveforms as stimuli and TLP testing using square wave TLP pulse trains as stimuli. It concludes that TCAD ESD ...

Geophysical electromagnetic exploration has become a cornerstone in various fields such as mineral exploration, geological mapping, groundwater exploration, and environmental monitoring. Despite its ...