Min Zhu

A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks

Chenxi Wu, Min Zhu, Qinyang Tan et al. · Computer Methods in Applied Mechanics and Engineering · 2022 · 504 citations · Full text

Comprehensive Study, Engineering, Machine Learning +11

Reliable extrapolation of deep neural operators informed by physics or sparse observations

Min Zhu, Handi Zhang, Anran Jiao et al. · Computer Methods in Applied Mechanics and Engineering · 2023 · 100 citations · Full text

Sparse Observations, Data Augmentation, Deep Neural Operators +9

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

Min Zhu, Shihang Feng, Youzuo Lin et al. · Computer Methods in Applied Mechanics and Engineering · 2023 · 74 citations · Full text

Engineering, Fourier Analysis, Improved Accuracy +5

Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics

Xin‐Yang Liu, Min Zhu, Lu Lu et al. · Communications Physics · 2024 · 53 citations · Full text

Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration

Zhongyi Jiang, Min Zhu, Lu Lu · Reliability Engineering & System Safety · 2024 · 44 citations · Full text

Numerical Analysis, Carbon Sequestration, Engineering +8