Development of Adaptive Sparse Grid Discontinuous Galerkin Methods for Multiscale Kinetic Simulations in Plasmas

Information

  • NSF Award
  • 2404521
Owner
  • Award Id
    2404521
  • Award Effective Date
    12/15/2023 - 5 months ago
  • Award Expiration Date
    7/31/2024 - a month from now
  • Award Amount
    $ 55,191.00
  • Award Instrument
    Standard Grant

Development of Adaptive Sparse Grid Discontinuous Galerkin Methods for Multiscale Kinetic Simulations in Plasmas

This project aims at designing efficient numerical schemes for simulating complex plasma phenomena. Plasma is a state of matter similar to gas in which a certain portion of the particles is ionized. Understanding the complex behaviors of plasmas has led to important advances in areas ranging from space physics, fusion energy, to high-power microwave generation and large scale particle accelerators. There is strong need for laying out mathematical and algorithmic foundations for the design of efficient numerical methods so that we can advance basic research in plasma simulations. The algorithms developed in this project have the potential to provide high fidelity simulations in plasma physics with manageable computational cost and will have applications and impacts in multiscale simulations in fusion devices. The principal investigator (PI) will organize special events at professional meetings and workshops to promote the participation of female researchers. This project provides research training opportunities for graduate students. <br/><br/>The objective of the project is to make significant advances on the design and analysis of a class of numerical methods called adaptive sparse grid (aSG) discontinuous Galerkin (DG) methods. The methods incorporate high order accurate DG solver that excels at transport simulations and the dimension reduction technique by aSG approach. The aim of this proposal is to advance the algorithmic foundations of the schemes for time-dependent PDEs, and push them onto the broader arena of multiscale simulations and applications for fusion science. The PI will investigate several fundamental issues including the analysis of CFL conditions, development of multiscale time stepping, postprocessing and hybrid aSG schemes. For a class of multiscale kinetic problems bridging kinetic and fluid models, by utilizing the multiresolution offered in the aSG-DG framework, the research will take advantage of both multiscale simulation tools and multiresolution on hierarchically defined meshes to achieve acceleration in computations. The schemes will be applied to simulations of runaway electrons in tokamak devices.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    Yuliya Gorbygorb@nsf.gov7032922113
  • Min Amd Letter Date
    12/19/2023 - 5 months ago
  • Max Amd Letter Date
    12/19/2023 - 5 months ago
  • ARRA Amount

Institutions

  • Name
    Virginia Polytechnic Institute and State University
  • City
    BLACKSBURG
  • State
    VA
  • Country
    United States
  • Address
    300 TURNER ST NW
  • Postal Code
    240603359
  • Phone Number
    5402315281

Investigators

  • First Name
    Yingda
  • Last Name
    Cheng
  • Email Address
    ycheng@math.msu.edu
  • Start Date
    12/19/2023 12:00:00 AM

Program Element

  • Text
    COMPUTATIONAL MATHEMATICS
  • Code
    127100

Program Reference

  • Text
    COMPUTATIONAL SCIENCE & ENGING
  • Code
    9263