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    <identifier>10.57760/sciencedb.05170</identifier>
    <datestamp>2022-10-28T11:24:43Z</datestamp>
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  <dc:date>2022-10-28</dc:date>
  <dc:title>Time diffusion method for gyrokinetic simulation of electrostatic turbulence with kinetic electrons</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.05170</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The relevant data generated in the process of developing and using the time diffusion method in 2021 to study the gyrokinetic simulation of the electrostatic turbulence with kinetic electrons in tokamak:Variation of the frequency of electrostatic shear Alphen wave as a function of the time diffusion coefficientTokamak analytical equilibrium configuration and safety factor q distribution are used for numerical simulationComparison of growth rate and frequency of ITG modes with toroidal modes n= 2-5 obtained from adiabatic electron model and kinetic electron model simulationsThe comparison of 2-D mode structure of ITG mode with n=2 was obtained from the adiabatic electron model and kinetic electron modelThe comparison of one-dimensional radial mode structure of ITG mode with n=2 is obtained from the adiabatic electron model and kinetic electron modelConvergence of time diffusion methodITG-TEM dispersion relation transition2-D structure of ITG mode with n=25One-dimensional radial and polar structure of ITG mode with n=25Comparison of adiabatic electron examples and kinetic electron examples for the time evolution of the potential components, m=0 and m=1, of zonal flowsITG/TEM dominated electrostatic turbulent heat transport coefficientITG/TEM dominated electrostatic turbulent particle flow</dc:description>
  <dc:subject>Gyrokinetic simulation; Kinetic electron; Trapped electron mode (TEM); Nonlinear turbulence; Numerical diffusion</dc:subject>
  <dc:creator>zhao peng fei</dc:creator>
  <dc:creator>Lei Ye</dc:creator>
  <dc:creator>Nong Xiang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1016/j.cpc.2021.108114</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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