Award Abstract # 2011838
Development of Adaptive Sparse Grid Discontinuous Galerkin Methods for Multiscale Kinetic Simulations in Plasmas

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: MICHIGAN STATE UNIVERSITY
Initial Amendment Date: July 27, 2020
Latest Amendment Date: July 27, 2020
Award Number: 2011838
Award Instrument: Standard Grant
Program Manager: Yuliya Gorb
ygorb@nsf.gov
 (703)292-2113
DMS
 Division Of Mathematical Sciences
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: August 1, 2020
End Date: January 31, 2024 (Estimated)
Total Intended Award Amount: $200,000.00
Total Awarded Amount to Date: $200,000.00
Funds Obligated to Date: FY 2020 = $144,809.00
History of Investigator:
  • Yingda Cheng (Principal Investigator)
    yingda@vt.edu
Recipient Sponsored Research Office: Michigan State University
426 AUDITORIUM RD RM 2
EAST LANSING
MI  US  48824-2600
(517)355-5040
Sponsor Congressional District: 07
Primary Place of Performance: Michigan State University
619 Red Cedar Road, Room D316
East Lansing
MI  US  48824-3402
Primary Place of Performance
Congressional District:
07
Unique Entity Identifier (UEI): R28EKN92ZTZ9
Parent UEI: VJKZC4D1JN36
NSF Program(s): COMPUTATIONAL MATHEMATICS
Primary Program Source: 01002021DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 9263
Program Element Code(s): 127100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

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.

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.

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.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Guo, Wei and Huang, Juntao and Tao, Zhanjing and Cheng, Yingda "An adaptive sparse grid local discontinuous Galerkin method for Hamilton-Jacobi equations in high dimensions" Journal of Computational Physics , v.436 , 2021 https://doi.org/10.1016/j.jcp.2021.110294 Citation Details
Huang, Juntao and Liu, Yuan and Guo, Wei and Tao, Zhanjing and Cheng, Yingda "An Adaptive Multiresolution Interior Penalty Discontinuous Galerkin Method for Wave Equations in Second Order Form" Journal of Scientific Computing , v.85 , 2020 https://doi.org/10.1007/s10915-020-01322-w Citation Details
Tao, Zhanjing and Huang, Juntao and Liu, Yuan and Guo, Wei and Cheng, Yingda "An Adaptive Multiresolution Ultra-weak Discontinuous Galerkin Method for Nonlinear Schrödinger Equations" Communications on Applied Mathematics and Computation , 2021 https://doi.org/10.1007/s42967-020-00096-0 Citation Details

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