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Multi-fidelity physics constrained neural networks for dynamical systems

Multi-fidelity physics constrained neural networks for dynamical systems

3 February 2024
Hao Zhou
Sibo Cheng
Rossella Arcucci
    AI4CE
ArXivPDFHTML

Papers citing "Multi-fidelity physics constrained neural networks for dynamical systems"

2 / 2 papers shown
Title
Artificial Intelligence in Reactor Physics: Current Status and Future Prospects
Artificial Intelligence in Reactor Physics: Current Status and Future Prospects
Ruizhi Zhang
Shengfeng Zhu
K. Wang
Ding She
J. Argaud
B. Bouriquet
Qing Li
Helin Gong
AI4CE
41
0
0
04 Mar 2025
Dynamical system prediction from sparse observations using deep neural
  networks with Voronoi tessellation and physics constraint
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint
Hanyang Wang
Hao Zhou
Sibo Cheng
AI4CE
23
4
0
31 Aug 2024
1