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

15 March 2023

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

5 / 5 papers shown

Title
Artificial Intelligence in Reactor Physics: Current Status and Future Prospects Ruizhi Zhang Shengfeng Zhu Kaixin Wang Ding She J. Argaud B. Bouriquet Qing Li Helin Gong AI4CE 49 0 0 04 Mar 2025
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint Hanyang Wang Hao Zhou Sibo Cheng AI4CE 35 5 0 31 Aug 2024
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 41 494 0 09 Feb 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 232 2,287 0 18 Oct 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 183 760 0 13 Mar 2020