Application and extension of a super resolution physics-informed convolutional neural network to groundwater modelling

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Event: Veröffentlichung

(where): Stuttgart

(who): Universitätsbibliothek der Universität Stuttgart

(when): 2023

Creator: Hirche, Manuel

DOI: 10.18419/opus-13366

URN: urn:nbn:de:bsz:93-opus-ds-133859

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:43 PM CET

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Hirche, Manuel
Universitätsbibliothek der Universität Stuttgart

Time of origin

2023

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Application and extension of a super resolution physics-informed convolutional neural network to groundwater modelling

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Time of origin

Other Objects (12)

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Physics-Informed Deep Learning for Advanced Medical Ultrasound

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Physics-Informed Quantum Machine Learning for Solving Partial Differential Equations

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Physics-informed neural networks applied to catastrophic creeping landslides

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Physics-Informed Quantum Machine Learning for Solving Partial Differential Equations

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Parareal with a physics-informed neural network as coarse propagator

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