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Reacting Flows: Modeling and Simulation II

ORAL · F09 · ID: 22850

Presentations

  • Deep Reinforcement Learning to Discover Multi-Fuel Injection Strategies for Compression Ignition Engines

    ORAL

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    Publication: Henry de Frahan MT, Wimer NT, Yellapantula S, Grout RW. Deep reinforcement learning for dynamic control of fuel injection timing in multi-pulse compression ignition engines. International Journal of Engine Research. May 2021. doi:10.1177/14680874211019345

    Presenters

    • Nicholas T Wimer

      National Renewable Energy Laboratory

    Authors

    • Nicholas T Wimer

      National Renewable Energy Laboratory

    • Marc T Henry de Frahan

      National Renewable Energy Laboratory

    • Shashank Yellapantula

      National Renewable Energy Laboratory

    • Ray Grout

      National Renewable Energy Laboratory

    • Marc Day

      National Renewable Energy Laboratory

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  • Asynchronous simulations of reacting flows: a path towards exascale computing

    ORAL

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    Publication: Published manuscript:<br>Komal Kumari, Diego A. Donzis, A generalized von Neumann analysis for multi-level schemes: Stability and spectral accuracy, Journal of Computational Physics 2021, https://doi.org/10.1016/j.jcp.2020.109868<br><br>Submitted manuscript: <br>Komal Kumari, Emmet Cleary, Swapnil Desai, Diego A. Donzis, Jacqueline H. Chen, Konduri Aditya, Evaluation of finite difference based asynchronous partial differential equations solver for reacting flows.

    Presenters

    • Komal Kumari

      Texas A&M University

    Authors

    • Komal Kumari

      Texas A&M University

    • Swapnil Desai

      Sandia National Laboratories

    • Konduri Aditya

      Indian Institute of Science Bangalore, Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru

    • Jacqueline Chen

      Sandia National Laboratories

    • Diego A Donsiz

      Texas A&M University, Texas A&M

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  • Application of Machine learning for turbulent combustion modelling

    ORAL

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    Presenters

    • Hanying Yang

      University of Cambridge

    Authors

    • Hanying Yang

      University of Cambridge

    • Zhi X Chen

      Peking University

    • Nedunchezhian Swaminathan

      University of Cambridge, Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, UK, Department of Engineering, University of Cambridge

    View abstract →