article Open AccessTop 1% cited
Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data
Computer Methods in Applied Mechanics and Engineering · 2019 · Vol. 361 · pp. 112732–112732
Luning Sun(University of Notre Dame)Han Gao(University of Notre Dame)Shaowu Pan(University of Michigan)Jianxun Wang✉(University of Notre Dame)
Model Reduction and Neural NetworksProbabilistic and Robust Engineering DesignFluid Dynamics and Vibration AnalysisDiscretizationSurrogate modelCurse of dimensionalityComputer scienceFluid dynamicsArtificial neural networkComputational fluid dynamicsUncertainty quantificationParametric statisticsPartial differential equation
Funding
- National Science Foundation
- China Scholarship Council
- Defense Advanced Research Projects Agency
Citations
933
FWCI
40.29
field-weighted impact
References
102
Percentile
100%
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Citations per year
References
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Deep learning
Nature · 2015 · 79,164 citations
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