Semiconductor Engineering

Physics Simulation With Graph Neural Networks Targeting Mobile

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...
JCN Newswire

Fujitsu achieves high-precision, long-duration molecular dynamics simulation for all-solid-state battery interphases with over 100,000 atoms

Fujitsu achieves high-precision, long-duration molecular dynamics simulation for all-solid-state battery interphases with ...
dbta

TigerGraph Unveils its ML Workbench to Deliver Deep Learning and Graph Neural Network Frameworks

TigerGraph, provider of a leading graph analytics platform, is introducing the TigerGraph ML (Machine Learning) Workbench—a powerful toolkit that enables data scientists to significantly improve ML ...
Nature

Neural Network Models in Semiconductor Device Simulation

The application of neural network models to semiconductor device simulation has emerged as a transformative approach in the field of electronics. These models offer significant speed improvements over ...
PSU Connect

Fujitsu Achieves High-Precision, Long-Duration Molecular Dynamics Simulation for All-Solid-State Battery Interphases

Fujitsu today announced the successful development of a technology for molecular dynamics (MD) simulation that enables atomic ...

Fujitsu Ltd: Fujitsu achieves high-precision, long-duration molecular dynamics simulation for all-solid-state battery interphases with over 100,000 atoms

New neural network potential training method for atomic-level interface structure analysisKAWASAKI, Japan, Dec 1, 2025 - (JCN Newswire) - Fujitsu today announced the successful development of a techno ...