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    How much can neural networks learn about jellyfish? 

    Abdelmohsen, Lana; Battista, Nicholas (2021)
    Neural Networks can approximate real-valued, discrete values and vector-valued functions. Artificial neural networks (ANNs) have inputs neurons, hidden layers, and output neurons. A Convolutional Neural Network (CNN) has ...

    When it is good to be out of sync: copepod and marine snow interactions 

    Ebke, Kendra; Battista, Nicholas (2021)
    Copepods’ interaction with marine snow and how they capture food is an understudied topic. The focus of this project is to create mathematical models of copepods and marine snow particles to study how different movement ...

    A polynomial chaos approach to predicting swimming performance 

    Dorval, Anna; Battista, Nicholas (2022)
    Jellyfish only expend little energy while in motion, making them highly efficient swimmers. We can explore swimming performance using computer simulations to further understand jellyfish locomotion. Each computer simulation ...
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    Vortex dynamics in trabeculated embryonic ventricles 

    Battista, Nicholas; Douglas, Dylan R.; Lane, Andrea; Samsa, Leigh Ann; Liu, Jiandong; Miller, Laura (MDPI, 2019-01-22)
    Proper heart morphogenesis requires a delicate balance between hemodynamic forces, myocardial activity, morphogen gradients, and epigenetic signaling, all of which are coupled with genetic regulatory networks. Recently ...
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    Suite-CFD: an array of fluid solvers written in MATLAB and Python 

    Battista, Nicholas (MDPI, 2020-02-25)
    Computational Fluid Dynamics (CFD) models are being rapidly integrated into applications across all sciences and engineering. CFD harnesses the power of computers to solve the equations of fluid dynamics, which otherwise ...
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    Naut your everyday jellyfish model: exploring how tentacles and oral arms impact locomotion 

    Miles, Jason G.; Battista, Nicholas (MDPI, 2019-09-10)
    Jellyfish are majestic, energy-efficient, and one of the oldest species that inhabit the oceans. It is perhaps the second item, their efficiency, that has captivated scientists for decades into investigating their locomotive ...
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    A swing of beauty: pendulums, fluids, forces, and computers 

    Mongelli, Michael; Battista, Nicholas (MDPI, 2020-04-12)
    While pendulums have been around for millennia and have even managed to swing their way into undergraduate curricula, they still offer a breadth of complex dynamics to which some has still yet to have been untapped. To ...
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    Bifurcations in valveless pumping techniques from a coupled fluid-structure-electrophysiology model in heart development 

    Battista, Nicholas; Miller, Laura (2017-12-06)
    We explore an embryonic heart model that couples electrophysiology and muscle-force generation to flow induced using a 2𝘋 fluid-structure interaction framework based on the immersed boundary method. The propagation of ...
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    Pulsing corals: a story of scale and mixing 

    Samson, Julia E.; Battista, Nicholas; Khatri, Shilpa; Miller, Laura (Biomath Forum, 2017-12-27)
    Effective methods of fluid transport vary across scale. A commonly used dimensionless number for quantifying the effective scale of fluid transport is the frequency based Reynolds number, Ref, which gives the ratio of ...
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    Three-dimensional low Reynolds number flows near biological filtering and protective layers 

    Strickland, Christopher; Miller, Laura; Santhanakrishnan, Arvind; Hamlet, Christina; Battista, Nicholas; Pasour, Virginia (MDPI, 2017-11-13)
    Mesoscale filtering and protective layers are replete throughout the natural world. Within the body, arrays of extracellular proteins, microvilli, and cilia can act as both protective layers and mechanosensors. For example, ...
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    Battista, Nicholas (12)
    Miller, Laura (6)Khatri, Shilpa (2)Abdelmohsen, Lana (1)Dorval, Anna (1)Douglas, Dylan R. (1)Ebke, Kendra (1)Hamlet, Christina (1)Lane, Andrea (1)Liu, Jiandong (1)... View MoreDate Issued2017 (5)2019 (2)2020 (2)2021 (2)2022 (1)SubjectFluid-structure interaction (4)Immersed boundary method (4)Computational fluid dynamics (3)Heart development (3)Cavity flow (2)Fluid dynamics education (2)Applied mathematics education (1)Aquatic locomotion (1)Biological fluid dynamics (1)Biology--Mathematical models (1)... View MoreHas File(s)
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