3.4k citations · 27.2k across the 213 of their papers we have counts for
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physics.comp-ph2018★ 1.1k cited
fPINNs: Fractional Physics-Informed Neural Networks
Guofei Pang, Lu Lu, George Em Karniadakis
Physics-informed neural networks (PINNs) are effective in solving integer-order partial differential equations (PDEs) based on scattered and noisy data. PINNs employ standard feedf…
physics.comp-ph2018★ 129 cited
Self-cleaning of hydrophobic rough surfaces by coalescence-induced wetting transition
Kaixuan Zhang, Zhen Li, Martin Maxey +2
The superhydrophobic leaves of a lotus plant and other natural surfaces with self-cleaning function have been studied intensively for the development of artificial biomimetic surfa…
physics.comp-ph2018★ 20 cited
Concurrent coupling of atomistic simulation and mesoscopic hydrodynamics for flows over soft multi-functional surfaces
Yuying Wang, Zhen Li, Junbo Xu +2
We develop an efficient parallel multiscale method that bridges the atomistic and mesoscale regimes, from nanometer to micron and beyond, via concurrent coupling of atomistic simul…