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Rao, Chengping

  1. Encoding physics to learn reaction-diffusion processes
    2021/06/09 by Chengping Rao, Pu Ren, Rao, Chengping +9 · 11 citations
    Computer Science · Materials Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  2. Physics informed deep learning for computational elastodynamics without labeled data
    2020/06/10 by Chengping Rao, Rao, Chengping, Hao Sun +3 · 7 citations
    Physics and Astronomy · Materials Science · Engineering · #Model Reduction and Neural Networks #Magnetic Properties and Applications #Numerical methods in engineering
  3. SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain
    2022/10/25 by Ren, Pu, Rao, Chengping, Chen, Su +3 · 2 citations
    #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Machine Learning (cs.LG)
  4. Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization
    2020/02/14 by Rao, Chengping, Liu, Yang · 1 citation
    #Computational Engineering #FOS: Computer and information sciences #Finance #and Science (cs.CE)
  5. Hard Encoding of Physics for Learning Spatiotemporal Dynamics
    2021/05/02 by Rao, Chengping, Sun, Hao, Liu, Yang · 1 citation
    #Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
  6. Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning
    2022/01/28 by Chengping Rao, Pu Ren, Rao, Chengping +5 · 1 citation
    Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  7. Physics-informed neural network for seismic wave inversion in layered semi-infinite domain
    2023/05/09 by Ren, Pu, Rao, Chengping, Sun, Hao +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Geophysics (physics.geo-ph) #Machine Learning (cs.LG) #Numerical Analysis (math.NA)