A Physics-Guided Bi-Fidelity Fourier-Featured Operator Learning Framework for Predicting Time Evolution of Drag and Lift Coefficients

Simple item page
dc.contributor.authorAmirhossein Mollaali
dc.contributor.authorIzzet Sahin
dc.contributor.authorIqrar Raza
dc.contributor.authorChristian Moya
dc.contributor.authorGuillermo Paniagua
dc.contributor.authorGuang Lin
dc.date.accessioned2025-04-16T12:30:33Z
dc.date.available2025-04-16T12:30:33Z
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/17615
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc530
dc.titleA Physics-Guided Bi-Fidelity Fourier-Featured Operator Learning Framework for Predicting Time Evolution of Drag and Lift Coefficients
dc.typepdf
dspace.entity.typeDistribution
relation.isDatasetOfDistribution46c86abe-1ca0-43f1-adb2-41cf4ae3fb6b
relation.isDatasetOfDistribution.latestForDiscovery46c86abe-1ca0-43f1-adb2-41cf4ae3fb6b

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
fluids-08-12-00323.pdf
Size:
4.64 MB
Format:
Adobe Portable Document Format
Download

Collections

2023