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Bridging Large Eddy Simulation and Reduced-Order Modeling of Convection-Dominated Flows through Spatial Filtering: Review and Perspectives

Fluids(2024)10.3390/fluids9080178Source: DataRank Database

Bridging Large Eddy Simulation and Reduced-Order Modeling of Convection-Dominated Flows through Spatial Filtering: Review and Perspectives is a research paper published in Fluids (2024). On theSindex it has a DataRank of 0. It has been cited 9 times.

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Open Access9 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (14 grants)OA: goldTopics (20)IDs (PubMed)

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Authors (4)

Omer San ORCID,Alessandro Veneziani ORCID,Traian Iliescu ORCID,Annalisa Quaini ORCID

Live enrichment

PubMed:21097893

U.S. National Science Foundation

Grant: DMS-1953535

U.S. National Science Foundation

Grant: DMS-2345048

U.S. National Science Foundation

Grant: DMS-2012286

U.S. National Science Foundation

Grant: DMS-2038118

U.S. National Science Foundation

Grant: DMS-2012253

U.S. National Science Foundation

Grant: CDS&E-MSS-1953113

U.S. National Science Foundation

Grant: R01EB031101

National Science Foundation

Grant: 2012253

Collaborative Research: Data-Driven Variational Multiscale Reduced Order Models for Biomedical and Engineering Applications

National Science Foundation

Grant: 2012286

Innovative Numerical Methods for High-Dimensional Applications

National Science Foundation

Grant: 1953113

Transforming Reduced-Order Models of Fluids with Data Assimilation

National Science Foundation

Grant: 1953535

Fusion-Inducing Liposomes for Efficient Intracellular Delivery: Continuum Models and Experiments

National Institutes of Health

Grant: 5R01EB031101-04

3D Multi-Functional Catheter-Based Imaging of Coronary Lesion Composition, Structure, and Hemodynamics in Intermediate Stenoses

National Science Foundation

Grant: 2038118

RTG: Computational Mathematics for Data Science

National Science Foundation

Grant: 2345048

Collaborative Research: Data-Driven Variational Multiscale Reduced Order Models for Biomedical and Engineering Applications

goldLicense: cc-by

publisherhttps://www.mdpi.com/2311-5521/9/8/178/pdf?version=1722991970

publisherhttps://www.mdpi.com/2311-5521/9/8/178/pdf

repositoryhttps://vtechworks.lib.vt.edu/bitstreams/61ff0a50-34c1-4c1a-a1e2-86bae6d7c100/download

https://doi.org/10.3390/fluids9080178

https://dx.doi.org/10.48550/arxiv.2407.00231

Fields of Study

01 natural sciences0103 physical sciences

Keywords

cardiovascular modelingQC120-168.85spatial filteringlarge eddy simulationFluid Dynamics (physics.flu-dyn)FOS: Physical sciencesatmospheric modelingcompressible fluidsPhysics - Fluid DynamicsNumerical Analysis (math.NA)reduced-order modelingmachine learningDescriptive and experimental mechanicsincompressible fluidsFOS: MathematicsThermodynamicsMathematics - Numerical AnalysisQC310.15-319