Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness

26 May 2023

Papers citing "Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness"

9 / 9 papers shown

Title
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems Sumanth Kumar Boya Deepak Subramani AI4CE 104 0 0 12 Dec 2024
Radial Basis Operator Networks Jason Kurz Sean Oughton Shitao Liu 49 0 0 06 Oct 2024
Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation Jingmin Sun Yuxuan Liu Zecheng Zhang Hayden Schaeffer AI4CE 30 17 0 18 Apr 2024
Speeding up and reducing memory usage for scientific machine learning via mixed precision Joel Hayford Jacob Goldman-Wetzler Eric Wang Lu Lu 51 8 0 30 Jan 2024
An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem Xiong-bin Yan Keke Wu Zhi-Qin John Xu Zheng Ma 19 0 0 08 Nov 2023
Scattering with Neural Operators Sebastian Mizera AI4CE 32 9 0 28 Aug 2023
Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration Zhongyi Jiang Min Zhu Dongzhuo Li Qiuzi Li Yanhua O. Yuan Lu Lu AI4CE 46 50 0 08 Mar 2023
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop Peng Jin Xitong Zhang Yinpeng Chen Sharon X. Huang Zicheng Liu Youzuo Lin 74 48 0 14 Oct 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 271 2,315 0 18 Oct 2020