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Program

ICNSP2022 Conference Program (PDF)
Last updated: Sep. 1, 2022, 4:16pm JST
 
Poster Presentation List
 
Book of Abstracts
 
See also information.

  • Timetable
  • ➣    Session A:9:00-11:00 JST (2:00-4:00 CEST, 20:00-22:00 EDT, 17:00-19:00 PDT).
  • ➣    Session B:17:00-19:00 JST (10:00-12:00 CEST,4:00-6:00 EDT, 1:00-3:00 PDT).
  • ➣    Session A' and B' : Video recorded sessions for audience in different time zones.
  • ➣    Invited presentation 30min (25min talk with 5min discussion).
  • ➣    Contributed presentation 15min (12min talk with 3 min discussion).
  • ➣    Poster session 90min.
  • ➣    All posters can be presented in Session 2B and 3A (both or either)
  • (CEST = JST-7, EDT = JST-13 , PDT = JST-16)
Invited speakers

 

  • Farcas, Ionut (The University of Texas at Austin)
    • "Enabling Uncertainty Quantification In Predictive Plasma Turbulence Simulations"
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  • Hotta, Hideyuki (Chiba University)
    • "Solar differential rotation reproduced with high-resolution magnetohydrodynamic simulations"
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  • Huang, Chengkun (Los Alamos National Laboratory)
    • "Modeling of Coherent Synchrotron Radiation Effects in High Brightness Beams via a Novel Particle-mesh Method and Surrogate Models with Symplectic Neural Networks"
    •  
  • Iwamoto, Masanori (Kyushu University)
    • "3D PIC simulation of coherent emission from relativistic shocks"
    •  
  • Keppens, Rony (KU Leuven)
    • "When Hot Meets Cold: Recent Progress In Solar Flare Modeling"
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  • Luedtke, Scott V. (Los Alamos National Laboratory)
    • "VPIC 2.0: Performance-Portable Particle-in-Cell for Present and Future Supercomputers"
    •  
  • Ma, Jun (Institute of Plasma Physics, Chinese Academy of Sciences)
    • "Development of a full MHD eigenvalue code with the use of symbolic computation technique"
    •  
  • Matsumoto, Yosuke (Chiba University)
    • "Particle-in-cell simulations for elucidating cosmic-ray accelerations in the exascale computing era"
    •  
  • Narita, Emi (National Institutes for Quantum Science and Technology)
    • "Machine-Learning Assistance With Nonlinear Gyrokinetic Simulations By Recognizing Wavenumber-Space Images"

 

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