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Arvind T. Mohan


Machine Learning for Computational Fluids and Turbulence

Arvind T. Mohan

Office: TA-3, Bldg 1690, Room 142
Mail Stop: B213
Phone: (505) 665 7165
Fax: (505) 665-2659
home page

Research highlight
     Educational Background/Employment:
    • M.S. (2013) Aeronautical and Astronautical Engineering, The Ohio State University
    • Ph.D. (2017) Aeronautical and Astronautical Engineering, The Ohio State University

    Research Interests:

    • Data driven modeling of Turbulence.
    • Spatio-temporal Physics modeling with Machine Learning.
    • Computational Fluid Dynamics.
    • High Performance Computing.

    Selected Recent Publications:

    1. Mohan, A.T, and Gaitonde, Datta A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks, arXiv 1804.09269,(2018)
    2. Mohan, A.T; Gaitonde, Datta and Visbal, Miguel Model reduction and analysis of deep dynamic stall on a plunging airfoil, Computers & Fluids 129,(2016)
    3. King, R; Hennigh, O; Mohan, A.T; Chertkov, M From Deep to Physics-Informed Learning of Turbulence: Diagnostics, arXiv 1810.07785,(2018)
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