Fundamental Plasmas: Modeling and Machine Learning

ORAL · CO04 · ID: 1746220





Presentations

  • ORAL

    Publication: Ivlev, A. V., et al (2008). First observation of electrorheological plasmas. Physical Review Letters, 100(9). https://doi.org/10.1103/PhysRevLett.100.095003
    Shakoori, M. A., He, M., Shahzad, A., & Khan, M. (2022). Diffusion coefficients of electrorheological complex (dusty) plasmas. Journal of Molecular Modeling, 28(12). https://doi.org/10.1007/s00894-022-05394-3
    Shakoori, M. A., He, M., Shahzad, A., & Khan, M. (2023). Tuning the structure and transport properties of complex plasmas using electric field. Physica Scripta, 98(1). https://doi.org/10.1088/1402-4896/aca6b2

    Presenters

    • Muhammad A Shakoori

      • China University of Mining and Technology

    Authors

    • Muhammad A Shakoori

      • China University of Mining and Technology
    • Misbah Khan

      • School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, P. R. China
    • Haipeng Li

      • School of Materials Science and Physics, China University of Mining and Technology, Xuzhou 221116, China
    • Maogang He

      • School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, P. R. China
    • aamir shahzad

      • Department of physics, government college university Faisalabad, Pakistan

    View abstract →

  • ORAL

    Publication: 1. PRADHAN, S. & KUMARAN, V. 2011 The generalized Onsager model for the secondary flow in a high-speed rotating cylinder. J. Fluid Mech. 686, 109.

    2. KUMARAN, V & PRADHAN, S. 2014 The generalized Onsager model for a binary gas mixture. J. Fluid Mech. 753, 307.

    3. Sahadev Pradhan, & Viswanathan Kumaran 2015 Separation Analysis in a High-Speed Rotating Cylinder for a Binary Gas Mixture., 68th Annual Meeting of the APS Division of Fluid Dynamics Volume 60, Number 21 Sunday–Tuesday, November 22–24, 2015; Boston, Massachusetts.

    4. Sahadev Pradhan, 2016 The Generalized Onsager Model and DSMC Simulations of High-Speed Rotating Flow with Swirling Feed., 69th Annual Gaseous Electronics Conference, Volume 61, Number 9, Monday–Friday, October 10–14, 2016; Bochum, Germany.

    5. Sahadev Pradhan, 2016 The generalized Onsager model and DSMC simulations of high-speed rotating flows with product and waste baffles., 69th Annual Gaseous Electronics Conference, Volume 61, Number 9, Monday–Friday, October 10–14, 2016; Bochum, Germany.

    6. Sahadev Pradhan, 2016 DSMC simulations of leading edge flat-plate boundary layer flows at high Mach number., 69th Annual Gaseous Electronics Conference, Volume 61, Number 9, Monday–Friday, October 10–14, 2016; Bochum, Germany.

    7. Sahadev Pradhan, 2016 Thin film deposition using rarefied gas jet., 69th Annual Gaseous Electronics Conference, Volume 61, Number 9, Monday–Friday, October 10–14, 2016; Bochum, Germany.

    8. S. Pradhan, 2016 Analysis of High-Speed Rotating Flow in 2D Polar (r - theta) Coordinate., APS April Meeting 2016 Volume 61, Number 6 Saturday–Tuesday, April 16–19, 2016; Salt Lake City, Utah.

    9. Sahadev Pradhan, 2017 Analysis of high-speed rotating flow inside gas centrifuge casing., 70th Annual Meeting of the APS Division of Fluid Dynamics Volume 62, Number 14 Sunday–Tuesday, November 19–21, 2017; Denver, Colorado.

    10. Sahadev Pradhan, 2017 Binary gas mixture in a high-speed channel., 70th Annual Meeting of the APS Division of Fluid Dynamics Volume 62, Number 14 Sunday–Tuesday, November 19–21, 2017; Denver, Colorado.

    11. Sahadev Pradhan, 2017 Composite reinforced metallic cylinder for high-speed rotation., 70th Annual Meeting of the APS Division of Fluid Dynamics Volume 62, Number 14 Sunday–Tuesday, November 19–21, 2017; Denver, Colorado.

    12. Sahadev Pradhan, 2017 DSMC Simulations of High Mach Number Taylor-Couette Flow., 70th Annual Meeting of the APS Division of Fluid Dynamics Volume 62, Number 14 Sunday–Tuesday, November 19–21, 20

    Presenters

    • Dr. Sahadev Pradhan

      • Bhabha Atomic Research Centre

    Authors

    • Dr. Sahadev Pradhan

      • Bhabha Atomic Research Centre

    View abstract →

  • ORAL

    Publication: A. Gonoskov, Explicit energy-conserving modification of relativistic PIC method, arXiv:2302.01893 (2023);
    A. Gonoskov, Agnostic conservative down-sampling for optimizing statistical representations and PIC simulations, Comput. Phys. Commun. 271, 108200 (2022).

    Presenters

    • Arkady Gonoskov

      • University of Gothenburg

    Authors

    • Arkady Gonoskov

      • University of Gothenburg

    View abstract →

  • ORAL

    Presenters

    • Ping-Hsuan Tsai

      • University of Illinois at Urbana, Champaign

    Authors

    • Ping-Hsuan Tsai

      • University of Illinois at Urbana, Champaign
    • Seung Whan Chung

      • Lawrence Livermore National Laboratory
    • Debojyoti Ghosh

      • Lawrence Livermore Natl Lab
      • Lawrence Livermore National Laboratory
    • Youngsoo Choi

      • Lawrence Livermore National Laboratory
    • Jonathan L Belof

      • Lawrence Livermore National Laboratory

    View abstract →

  • ORAL

    Publication: D. D. Carvalho, D. R. Ferreira, and L. O. Silva, Graph Neural Networks for Kinetic Simulations of a 1D Plasma Sheet Model (in preparation)

    Presenters

    • Diogo D Carvalho

      • GoLP/IPFN, IST, ULisboa, Portugal

    Authors

    • Diogo D Carvalho

      • GoLP/IPFN, IST, ULisboa, Portugal
    • Diogo R Ferreira

      • IPFN, IST, ULisboa, Portugal
    • Luis O Silva

      • Instituto Superior Tecnico
      • GoLP/IPFN, IST, ULisboa, Portugal

    View abstract →

  • ORAL

    Publication: [1] W. J. Cheng, H. Y. Fu, L. Wang, C. Dong, Y. Q. Jin, M. L. Jiang, J. Y. Ma, Y. L. Qin, and K. X. Liu, Data-driven, multi-moment fluid modeling of Landau damping, Computer Physics Communications 282, 108538 (2023). arXiv:2209.04726.

    [2] Y. Qin, J. Ma, M. Jiang, C. Dong, H. Fu, L. Wang, W. Cheng, and Y. Jin, Data-driven Modeling of Landau Damping by Physics-Informed Neural Networks, Phys. Rev. Research, in press. arXiv:2211.01021.

    Presenters

    • Chuanfei Dong

      • Boston University

    Authors

    • Chuanfei Dong

      • Boston University
    • Haiyang Fu

      • Fudan University
    • Liang Wang

      • Princeton University

    View abstract →

  • ORAL

    Presenters

    • Derek Mariscal

      • Lawrence Livermore Natl Lab
      • Lawrence Livermore National Laboratory

    Authors

    • Derek Mariscal

      • Lawrence Livermore Natl Lab
      • Lawrence Livermore National Laboratory
    • Blagoje Z Djordjevic

      • Lawrence Livermore Natl Lab
    • Bruce A Hammel

      • Lawrence Livermore Natl Lab
    • Madison E Martin

      • Lawrence Livermore Natl Lab
    • Matthew P Hill

      • Lawrence Livermore National Laboratory
      • Lawrence Livermore Natl Lab
    • Richard A London

      • Lawrence Livermore Natl Lab
    • Andreas J Kemp

      • LLNL
    • Ronnie L Shepherd

      • Lawrence Livermore Natl Lab
    • Mike J MacDonald

      • Lawrence Livermore Natl Lab
    • Edward V Marley

      • Lawrence Livermore Natl Lab
      • Lawrence Livermore National Laboratory
    • Elizabeth S Grace

      • Lawrence Livermore National Laboratory
    • Kelly K Swanson

      • Lawrence Livermore National Laboratory
    • Tammy Ma

      • Lawrence Livermore Natl Lab

    View abstract →

  • ORAL

    Presenters

    • Li Lin

      • George Washington University

    Authors

    • Li Lin

      • George Washington University
    • Sophia Gershman

      • Princeton Plasma Physics Laboratory
    • Yevgeny Raitses

      • US Dept of Energy-Germantown
      • Princeton Plasma Physics Laboratory
      • Princeton Plasma Physics Laboratory, Princeton, NJ 08540
      • Princeton Plasma Physics Laboratory, Princeton University
    • Michael Keidar

      • George Washington University

    View abstract →

  • ORAL

    Presenters

    • Nathaniel J Fisch

      • Princeton University

    Authors

    • Nathaniel J Fisch

      • Princeton University
    • Ian E Ochs

      • Princeton University
    • Elijah J Kolmes

      • Princeton University
    • Mikhail E Mlodik

      • Princeton University
    • Tal Rubin

      • Princeton University
    • Vadim R Munirov

      • Princeton University
    • Jean M Rax

      • Ecole Polytechnique

    View abstract →