Transitional Flows and Non-linear Dynamics I

ORAL · Q11 · ID: 48557

Presentations

  • ORAL

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    Presenters

    • Robert Morton

      • James Franck Institute, University of Chicago

    Authors

    • Robert Morton

      • James Franck Institute, University of Chicago

    • Xinran Zhao

      • Purdue University

    • Hridesh Kedia

      • Institute for Data Engineering and Science, Georgia Institute of Technology

    • Nicola Lucarelli

      • School of Mechanical Engineering, Purdue University

    • Daniel Peralta-Salas

      • Instituto de Ciencias Matemáticas-ICMAT

    • Carlo Scalo

      • Department of Mechanical Engineering, Purdue University

    • William T Irvine

      • University of Chicago
      • James Franck Institute, Enrico Fermi Institute, University of Chicago

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  • ORAL

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    Presenters

    • Justin Beroz

      • Massachusetts Institute of Technology MI

    Authors

    • Justin Beroz

      • Massachusetts Institute of Technology MI

    • A. John Hart

      • Massachusetts Institute of Technology MI

    • John W Bush

      • Massachusetts Institute of Technology MI

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  • ORAL

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    Publication: L. M. Milanese et al., ``Dynamic Phase Alignment in Inertial Alfven Turbulence", Physical Review Letters, 2020
    L. M. Milanese et al., ``Dynamic Phase Alignment in Navier-Stokes Turbulence", arXiv:2104.13518

    Presenters

    • Lucio M Milanese

      • Massachusetts Institute of Technology MI

    Authors

    • Lucio M Milanese

      • Massachusetts Institute of Technology MI

    • Nuno F Loureiro

      • MIT PSFC

    • Stanislav A Boldyrev

      • University of Wisconsin - Madison

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  • ORAL

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    Publication: Hargus, C., Epstein, J. M., & Mandadapu, K. K. (2021). Odd Diffusivity of Chiral Random Motion. Phys. Rev. Lett., 127(17), 178001. https://doi.org/10.1103/physrevlett.127.178001

    Hargus, C., Klymko, K., Epstein, J. M., & Mandadapu, K. K. (2020). Time reversal symmetry breaking and odd viscosity in active fluids: Green-Kubo and NEMD results. J. Chem. Phys., 152(20), 201102. https://doi.org/10.1063/5.0006441

    Presenters

    • Cory M Hargus

      • University of California, Berkeley

    Authors

    • Cory M Hargus

      • University of California, Berkeley

    • Kranthi K Mandadapu

      • University of California, Berkeley

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  • ORAL

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    Presenters

    • Sudheesh Srivastava

      • Graduate Center, City University of New York

    Authors

    • Sudheesh Srivastava

      • Graduate Center, City University of New York

    • Gustavo M Monteiro

      • City College of New York

    • Sriram Ganeshan

      • City College of New York

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  • ORAL

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    Presenters

    • Dane M Sterbentz

      • Lawrence Livermore National Laboratory

    Authors

    • Dane M Sterbentz

      • Lawrence Livermore National Laboratory

    • Charles F Jekel

      • Lawrence Livermore National Laboratory

    • Daniel White

      • Lawrence Livermore National Laboratory

    • Sylvie Aubry

      • Lawrence Livermore National Laboratory

    • Jonathan L Belof

      • Lawrence Livermore National Laboratory
      • Lawrence Livermore Natl Lab

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  • ORAL

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    Publication: Particle capture in a model chaotic flow, submitted to Physical Review E

    Presenters

    • Mengying Wang

      • Northwestern University

    Authors

    • Mengying Wang

      • Northwestern University

    • Julio M Ottino

      • Northwestern University

    • Richard M Lueptow

      • Northwestern University

    • Paul B Umbanhowar

      • Northwestern University

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  • ORAL

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    Publication: [1] Subel, Adam, Ashesh Chattopadhyay, Yifei Guan, and Pedram Hassanzadeh. "Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning." Physics of Fluids 33, no. 3 (2021): 031702.
    [2] Guan, Yifei, Ashesh Chattopadhyay, Adam Subel, and Pedram Hassanzadeh. "Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning." arXiv preprint arXiv:2102.11400 (2021).
    [3] Guan, Yifei, Adam Subel, Ashesh Chattopadhyay, and Pedram Hassanzadeh. "Learning Physics-constrained data-driven subgrid-scale models in the small-data regime for stable and accurate large-eddy simulations." In preparation (2021).

    Presenters

    • YIFEI GUAN

      • Rice University

    Authors

    • YIFEI GUAN

      • Rice University

    • Adam Subel

      • Rice Univ

    • Ashesh K Chattopadhyay

      • Rice University

    • Pedram Hassanzadeh

      • Rice

    View abstract →