46 citations · 131 across the 14 of their papers we have counts for
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eess.SY2021★ 15 cited
Controlling Chaos in Van Der Pol Dynamics Using Signal-Encoded Deep Learning
Hanfeng Zhai, Timothy Sands
Controlling nonlinear dynamics is a long-standing problem in engineering. Harnessing known physical information to accelerate or constrain stochastic learning pursues a new paradig…
physics.flu-dyn2021★ 32 cited
BubbleNet: Inferring micro-bubble dynamics with semi-physics-informed deep learning
Hanfeng Zhai, Quan Zhou, Guohui Hu
Micro-bubbles and bubbly flows are widely observed and applied in chemical engineering, medicine, involves deformation, rupture, and collision of bubbles, phase mixture, etc. We st…