Reacting Flows: Modeling and Simulation II
ORAL · F09 · ID: 22850
Presentations
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Balancing Transformation for Lightly-damped Dynamics of a Forced Flame using the Eigensystem Realization Algorithm
ORAL
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Presenters
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Elnaz Rezaian
- University of Michigan
Authors
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Elnaz Rezaian
- University of Michigan
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Cheng Huang
- University of Kansas
- University of Michigan
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Karthik Duraisamy
- University of Michigan, Ann Arbor
- University of Michigan
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Intrusive and Non-intrusive Non-linear Reduced-order Models for Reacting Flows
ORAL
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Presenters
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Christopher R Wentland
- University of Michigan, Ann Arbor
Authors
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Christopher R Wentland
- University of Michigan, Ann Arbor
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Karthik Duraisamy
- University of Michigan, Ann Arbor
- University of Michigan
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Evaluation of Co-optimized Machine-Learned Manifolds for Modeling Premixed Combustion
ORAL
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Presenters
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Bruce A Perry
- National Renewable Energy Laboratory
Authors
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Bruce A Perry
- National Renewable Energy Laboratory
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Marc T Henry de Frahan
- National Renewable Energy Laboratory
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Malik Hassanaly
- National Renewable Energy Laboratory
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Shashank Yellapantula
- National Renewable Energy Laboratory
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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
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Nicholas T Wimer
- National Renewable Energy Laboratory
Authors
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Nicholas T Wimer
- National Renewable Energy Laboratory
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Marc T Henry de Frahan
- National Renewable Energy Laboratory
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Shashank Yellapantula
- National Renewable Energy Laboratory
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Ray Grout
- National Renewable Energy Laboratory
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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:
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
Submitted manuscript:
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
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Komal Kumari
- Texas A&M University
Authors
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Komal Kumari
- Texas A&M University
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Swapnil Desai
- Sandia National Laboratories
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Konduri Aditya
- Indian Institute of Science Bangalore
- Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru
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Jacqueline Chen
- Sandia National Laboratories
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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
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Hanying Yang
- University of Cambridge
Authors
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Hanying Yang
- University of Cambridge
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Zhi X Chen
- Peking University
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Nedunchezhian Swaminathan
- University of Cambridge
- Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, UK
- Department of Engineering, University of Cambridge
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