UNT Funded Research Projects - 6 Matching Results

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Approximation Theory and Complex Dynamics

Description: Data management plan for the grant, "Approximation Theory and Complex Dynamics." This project involves the study of approximation theory in the setting of complex functions, with applications to complex dynamics. Approximation theory seeks to understand the extent to which the behavior of a general function can be effectively modeled by that of functions drawn from a more restricted class. Efficient approximation of functions is of relevance for numerical calculation. Since the only calculation… more
Date: 2023-09-01/2026-08-31
Creator: Lazebnik, Kirill
Item Type: Refine your search to only Text
Partner: UNT College of Science
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Collaborative Research: Using Uncertainty Quantification and Validated Computational Models to Analyze Pumping Performance of Valveless, Tubular Hearts

Description: Data management plan for the research grant, "Collaborative Research: Using Uncertainty Quantification and Validated Computational Models to Analyze Pumping Performance of Valveless, Tubular Hearts." This project will develop a computational model of the essential features of the circulatory system: the electrical activity of the heart, muscle contractions of the tube walls, and the fluid-structure interactions of the heart walls and blood within. This computational framework aims to be faithfu… more
Date: 2022-05-01/2025-04-30
Creator: He, Yanyan & Cain, John
Item Type: Refine your search to only Text
Partner: UNT College of Science
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Using uncertainty quantification and machine learning techniques to study the evolution of odor capture

Description: Data management plan for the research grant, "Using uncertainty quantification and machine learning techniques to study the evolution of odor capture." This research proposes the application of uncertainty quantification (UQ) and machine learning (ML) to a CFD model of odor capture to understand the role of hair-array morphology, kinematics, and fluid environment in odor capture. The combination of CFD modeling and UQ&ML techniques can map out the performance space under which these chemosensor… more
Date: 2022-04-01/2025-03-31
Creator: He, Yanyan & Waldrop, Lindsay D.
Item Type: Refine your search to only Text
Partner: UNT College of Science
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