Search Results - Mitra, Peetak P.

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  1. 1
    Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flow

    Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flow by Shankar, Varun, Portwood, Gavin D., Mohan, Arvind T., Mitra, Peetak P., Krishnamurthy, Dilip, Rackauckas, Christopher, Wilson, Lucas A., Schmidt, David P., Viswanathan, Venkatasubramanian

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  2. 2
    Learning to forecast diagnostic parameters using pre-trained weather embedding

    Learning to forecast diagnostic parameters using pre-trained weather embedding by Mitra, Peetak P, Ramavajjala, Vivek

    Published in arXiv.org
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  3. 3
    Verification against in-situ observations for Data-Driven Weather Prediction

    Verification against in-situ observations for Data-Driven Weather Prediction by Ramavajjala, Vivek, Mitra, Peetak P

    Published in arXiv.org
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  4. 4
    Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flow

    Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flow by Shankar, Varun, Portwood, Gavin D, Mohan, Arvind T, Mitra, Peetak P, Krishnamurthy, Dilip, Rackauckas, Christopher, Wilson, Lucas A, Schmidt, David P, Venkatasubramanian Viswanathan

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  5. 5
    Improved Methods for Mixing-Limited Spray Modeling

    Improved Methods for Mixing-Limited Spray Modeling by Haghshenas, Majid, Mitra, Peetak P, Chu, Wang, Tagliante, Fabien, Pickett, Lyle, Schmidt, David P

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  6. 6
    The Eulerian Lagrangian Mixing-Oriented (ELMO) Model

    The Eulerian Lagrangian Mixing-Oriented (ELMO) Model by Schmidt, David P, Haghshenas, Majid, Mitra, Peetak P, Chu, Wang, P Kelly Senecal, Tagliante, Fabien, Pickett, Lyle M

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  7. 7
    Turbulence forecasting via Neural ODE

    Turbulence forecasting via Neural ODE by Portwood, Gavin D, Mitra, Peetak P, Mateus Dias Ribeiro, Nguyen, Tan Minh, Nadiga, Balasubramanya T, Saenz, Juan A, Chertkov, Michael, Garg, Animesh, Anandkumar, Anima, Dengel, Andreas, Baraniuk, Richard, Schmidt, David P

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  8. 8
    Acceleration of Chemical Kinetics Computation with the Learned Intelligent Tabulation (LIT) Method

    Acceleration of Chemical Kinetics Computation with the Learned Intelligent Tabulation (LIT) Method by Haghshenas, Majid, Mitra, Peetak, Santo, Niccolò Dal, Schmidt, David P.

    Published in Energies (Basel)
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  9. 9
    The Eulerian Lagrangian Mixing-Oriented (ELMO) model

    The Eulerian Lagrangian Mixing-Oriented (ELMO) model by Schmidt, David P., Haghshenas, Majid, Mitra, Peetak, Wang, Chu, Senecal, P. Kelly, Tagliante, Fabien, Pickett, Lyle M.

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  10. 10
    Improving CFD simulations by local machine-learned correction

    Improving CFD simulations by local machine-learned correction by Mitra, Peetak, Haghshenas, Majid, Niccolo Dal Santo, Daly, Conor, Schmidt, David P

    Published in arXiv.org
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