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@ARTICLE{Demirci:1010423,
      author       = {Demirci, Aytekin and Steinberger, Dominik and Stricker,
                      Markus and Merkert, Nina and Weygand, Daniel and Sandfeld,
                      Stefan},
      title        = {{S}tatistical analysis of discrete dislocation dynamics
                      simulations: initial structures, cross-slip and
                      microstructure evolution},
      journal      = {Modelling and simulation in materials science and
                      engineering},
      volume       = {31},
      number       = {7},
      issn         = {0965-0393},
      address      = {Bristol},
      publisher    = {IOP Publ.},
      reportid     = {FZJ-2023-03048},
      pages        = {075003 -},
      year         = {2023},
      abstract     = {Over the past decades, discrete dislocation dynamics
                      simulations have been shown to reliably predict the
                      evolution of dislocation microstructures for
                      micrometer-sized metallic samples. Such simulations provide
                      insight into the governing deformation mechanisms and the
                      interplay between different physical phenomena such as
                      dislocation reactions or cross-slip. This work is focused on
                      a detailed analysis of the influence of the cross-slip on
                      the evolution of dislocation systems. A tailored data mining
                      strategy using the 'discrete-to-continuous (D2C) framework'
                      allows to quantify differences and to quantitatively compare
                      dislocation structures. We analyze the quantitative effects
                      of the cross-slip on the microstructure in the course of a
                      tensile test and a subsequent relaxation to present the role
                      of cross-slip in the microstructure evolution. The precision
                      of the extracted quantitative information using D2C strongly
                      depends on the resolution of the domain averaging. We also
                      analyze how the resolution of the averaging influences the
                      distribution of total dislocation density and curvature
                      fields of the specimen. Our analyzes are important
                      approaches for interpreting the resulting structures
                      calculated by dislocation dynamics simulations.},
      cin          = {IAS-9},
      ddc          = {530},
      cid          = {I:(DE-Juel1)IAS-9-20201008},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001049391600001},
      doi          = {10.1088/1361-651X/acea39},
      url          = {https://juser.fz-juelich.de/record/1010423},
}