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Ratcheting fluid pumps: Using generalized polynomial chaos expansions to assess pumping performance and sensitivity

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Year: 2024
Type: article
Source: Physics of Fluids
DOI: 10.1063/5.0237403
Authors: Zain Moin, Laura A. Miller, Nicholas A. Battista
Institutions: The College of New Jersey, University of Arizona
Language: English

Topic: Model Reduction and Neural Networks
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation
Awards: MRI: Acquisition of Hardware for the Enhancement of the ELSA High Performance Computing Cluster to Enable Computational Research at The College of New Jersey, Equipment: MRI: Track 1 Acquisition of Current Hardware to Enhance Computational Research on the ELSA High Performance Computing Cluster at The College of New Jersey, CC* Networking Infrastructure: Building a Friction-free High-speed Science Network and DMZ to Support Data-intensive Research and Education at The College of New Jersey, Collaborative Research: RUI: The fluid dynamics of organisms filtering particles at the mesoscale, Collaborative Research: Using Uncertainty Quantification and Validated Computational Models to Analyze Pumping Performance of Valveless, Tubular Hearts
OpenAlex ID: W4405514964
FWCI: 0.148
Cites: 77
Cited by: 1
Related to: 10
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