Data Assimilation and Parameter Identification for Water Waves Using the Nonlinear Schrödinger Equation and Physics-Informed Neural Networks

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datacite.relatedItem.firstPage231
datacite.relatedItem.issue10
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2311-5521
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleFluids
datacite.relatedItem.volume9
dc.contributor.authorSvenja Ehlers
dc.contributor.authorNiklas A. Wagner
dc.contributor.authorAnnamaria Scherzl
dc.contributor.authorMarco Klein
dc.contributor.authorNorbert Hoffmann
dc.contributor.authorMerten Stender
dc.date.accessioned2025-04-16T12:49:12Z
dc.date.available2025-04-16T12:49:12Z
dc.date.issued2024
dc.identifier.doihttps://doi.org/10.3390/fluids9100231
dc.identifier.otherjz000104-0228
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/18496
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc530
dc.titleData Assimilation and Parameter Identification for Water Waves Using the Nonlinear Schrödinger Equation and Physics-Informed Neural Networks
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/18497
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