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Min Zhu
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A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
C Wu*, M Zhu*, Q Tan, Y Kartha, L Lu
Computer Methods in Applied Mechanics and Engineering 403, 115671, 2023
1792023
Reliable extrapolation of deep neural operators informed by physics or sparse observations
M Zhu, H Zhang, A Jiao, GE Karniadakis, L Lu
Computer Methods in Applied Mechanics and Engineering 412, 116064, 2023
512023
Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration
Z Jiang, M Zhu, D Li, Q Li, YO Yuan, L Lu
arXiv preprint arXiv:2303.04778, 2023
212023
Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics
XY Liu, M Zhu, L Lu, H Sun, JX Wang
Communications Physics 7 (1), 31, 2024
18*2024
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
M Zhu, S Feng, Y Lin, L Lu
Computer Methods in Applied Mechanics and Engineering 416, 116300, 2023
182023
: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
S Feng, H Wang, C Deng, Y Feng, Y Liu, M Zhu, P Jin, Y Chen, Y Lin
Advances in Neural Information Processing Systems 36, 2024
3*2024
OpenFWI 2.0: Benchmark Datasets for Elastic Full-waveform Inversion
S Feng, H Wang, C Deng, Y Feng, M Zhu, P Jin, Y Chen, Y Lin
SEG International Exposition and Annual Meeting, SEG-2023-3896358, 2023
2023
锂氧化物主体和表面相的稳定性研究
朱敏, 于养信
工程热物理学报 39 (12), 2597-2602, 2018
2018
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Articles 1–8