Efficient uncertainty quantification for dynamic subsurface flow with surrogate by theory-guided neural network (Q2020800)

scientific article

Language	Label	Description	Also known as
English	Efficient uncertainty quantification for dynamic subsurface flow with surrogate by theory-guided neural network	scientific article

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instance of

scholarly article

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title

Efficient uncertainty quantification for dynamic subsurface flow with surrogate by theory-guided neural network (English)

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zbMATH Open document ID

1506.76178

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DOI

10.1016/j.cma.2020.113492

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Computer Methods in Applied Mechanics and Engineering

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publication date

26 April 2021

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full work available at URL

https://arxiv.org/abs/2004.13560

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Mathematics Subject Classification ID

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theory-guided neural network

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surrogate modeling

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subsurface flow

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uncertainty quantification

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describes a project that uses

Adam

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MLMSRBF

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MaRDI profile type

MaRDI publication profile

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Mathematics(1 entry)

mardi Publication:2020800