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

Development of Adaptive Sparse Grid Discontinuous Galerkin Methods for Multiscale Kinetic Simulations in Plasmas
等离子体多尺度动力学模拟的自适应稀疏网格间断伽辽金方法的发展
批准号:
2011838
负责人:
Yingda Cheng
金额:
$20.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-01 至 2024-01-31

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中文摘要
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英文摘要
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.
期刊论文(3)
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科研奖励(0)
会议论文
DOI: 10.1007/s10915-020-01322-w
发表时间: 2020-04
期刊: Journal of Scientific Computing
影响因子: 2.5
作者: [Juntao Huang;Yuan Liu;Wenting Guo;Zhanjing Tao;Yingda Cheng]
通讯作者: Juntao Huang;Yuan Liu;Wenting Guo;Zhanjing Tao;Yingda Cheng
DOI: 10.1016/j.jcp.2021.110294
发表时间: 2020-05
期刊: J. Comput. Phys.
影响因子: --
作者: [Wenting Guo;Juntao Huang;Zhanjing Tao;Yingda Cheng]
通讯作者: Wenting Guo;Juntao Huang;Zhanjing Tao;Yingda Cheng
Development of Adaptive Sparse Grid Discontinuous Galerkin Methods for Multiscale Kinetic Simulations in Plasmas
OP: Collaborative Research: Compatible Discretizations for Maxwell Models in Nonlinear Optics
  • 批准号:
    1720023
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2017
  • 负责人:
    Yingda Cheng
  • 依托单位:
CAREER: Development of Discontinuous Galerkin Methods for Kinetic Equations in High Dimensions
  • 批准号:
    1453661
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2015
  • 负责人:
    Yingda Cheng
  • 依托单位:
Developing Energy-Conserving Deterministic Solvers for Kinetic Electromagnetic Plasma Simulations
  • 批准号:
    1318186
  • 项目类别:
    Standard Grant
  • 资助金额:
    $14.27万
  • 财政年份:
    2013
  • 负责人:
    Yingda Cheng
  • 依托单位:
海外基金