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Explicit physics-informed neural networks for nonlinear closure: The case of transport in tissues

Journal of Computational Physics(2022)

Cited 7|Views10
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Abstract
•Combines in tissues with closure via an MLP network.•Network informed by dimensionless parameters and source terms in closure.•Inclusion of source terms dramatically improves network performance.
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Key words
Explicit physics-informed neural networks,Deep learning,Tissue transport,Nonlinear kinetics,Upscaling,Effectiveness factor
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