ResearchTrend.AI
v1v2v3 (latest)

On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problem

Yu Yang
Helin Gong
Qihong Yang
Yangtao Deng
Qiaolin He
Shiquan Zhang
ArXiv (abs)PDFHTML

Papers citing "On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problem"

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
Kaidi Wang
Ding She
J. Argaud
B. Bouriquet
Qing Li
Helin Gong
AI4CE
74
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
65
7
0
31 Aug 2024

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.