Z
Zhicheng Wang
Researcher at Brown University
Publications - 53
Citations - 1579
Zhicheng Wang is an academic researcher from Brown University. The author has contributed to research in topics: Reynolds number & Electrode. The author has an hindex of 12, co-authored 44 publications receiving 587 citations. Previous affiliations of Zhicheng Wang include Chinese Academy of Sciences & Massachusetts Institute of Technology.
Papers
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Deep learning of vortex-induced vibrations
TL;DR: A new paradigm of inference in fluid mechanics for coupled multi-physics problems enables velocity and pressure quantification from flow snapshots in small subdomains and can be exploited for flow control applications and also for system identification.
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Physics-Informed Neural Networks for Heat Transfer Problems
TL;DR: In this paper, physics-informed neural networks (PINNs) have been applied to various prototype heat transfer problems, targeting in particular realistic conditions not readily tackled with traditional computational methods.
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DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks
TL;DR: A new data assimilation framework, the DeepM&Mnet, is put forward for simulating multiphysics and multiscale problems at speeds much faster than standard numerical methods using pre-trained neural networks (NNs).
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Reinforcement learning for bluff body active flow control in experiments and simulations.
TL;DR: Reinforcement learning is demonstrated to be effectiveness in experimental fluid mechanics and verifies it by simulations, potentially paving the way for efficient exploration of additional active flow control strategies in other complex fluid mechanics applications.
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Deep Learning of Vortex Induced Vibrations
TL;DR: In this paper, the authors employ deep neural networks that are extended to encode the incompressible Navier-Stokes equations coupled with the structure's dynamic motion equation and reconstruct the velocity vector field and the dynamic motion.