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20192026
most citedSurrogate Modeling for Fluid Flows Based on Physics-Constrained Deep Learning Without Simulation Data

1.1k citations · 1.9k across the 12 of their papers we have counts for

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physics.comp-ph2020★ 15 cited

Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data

Luning Sun, Jian-Xun Wang

In many applications, flow measurements are usually sparse and possibly noisy. The reconstruction of a high-resolution flow field from limited and imperfect flow information is sig…

physics.comp-ph2019★ 1.1k cited

Surrogate Modeling for Fluid Flows Based on Physics-Constrained Deep Learning Without Simulation Data

Luning Sun, Han Gao, Shaowu Pan +1

Numerical simulations on fluid dynamics problems primarily rely on spatially or/and temporally discretization of the governing equation into the finite-dimensional algebraic system…