Nature

Data-driven dynamic modeling for inverter-based resources using neural networks

Dynamic models are a cornerstone of power system stability and control. The growing penetration of inverter-based resources, driven by global decarbonization, significantly complicates power system ...
Nature

Dynamic identification of important nodes in complex networks based on the KPDN–INCC method

This article focuses on the cascading failure problem and node importance evaluation method in complex networks. To address the issue of identifying important nodes in dynamic networks, the method ...

ZTE and China Telecom Guangdong advance cross‑vendor IP network simulation pilots, paving the way for intelligent network operations

Leveraging >95% digital twin fidelity and multi-vendor collaboration to eliminate network change risks and achieve zero-error ...
Phys.org

Breakthroughs in atomistic neural network representations for chemical dynamics simulations

A team led by Prof. Jiang Bin from the University of Science and Technology of China (USTC) made a series of breakthroughs in chemical dynamics simulations of molecular, condensed phase and ...
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 ...