% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Steinberger:910955,
      author       = {Steinberger, Dominik and Issa, Inas and Strobl, Rachel and
                      Imrich, Peter J. and Kiener, Daniel and Sandfeld, Stefan},
      title        = {{D}ata-mining of in-situ {TEM} experiments: {T}owards
                      understanding nanoscale fracture},
      journal      = {Computational materials science},
      volume       = {216},
      issn         = {0927-0256},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2022-04283},
      pages        = {111830 -},
      year         = {2023},
      abstract     = {The lifetime and performance of any engineering component,
                      from nanoscale sensors to macroscopic structures, are
                      strongly influenced by fracture processes. Fracture itself
                      is a highly localized event; originating at the atomic scale
                      by bond breaking between individual atoms close to the crack
                      tip. These processes, however, interact with defects such as
                      dislocations or grain boundaries and influence phenomena on
                      much larger length scales, ultimately giving rise to
                      macroscopic behavior and engineering-scale fracture
                      properties. This complex interplay is the fundamental reason
                      why identifying the atomistic structural and energetic
                      processes occurring at a crack tip remains a longstanding
                      and still unsolved challenge.We develop a new analysis
                      approach for combining quantitative in-situ observations of
                      nanoscale deformation processes at a crack tip with
                      three-dimensional reconstruction of the dislocation
                      structure and advanced computational analysis to address
                      plasticity and fracture initiation in a ductile metal. Our
                      combinatorial approach reveals details of dislocation
                      nucleation, their interaction process, and the local
                      internal stress state, all of which were previously
                      inaccessible to experiments. This enables us to describe
                      fracture processes based on local crack driving forces on a
                      dislocation level with a high fidelity that paves the way
                      towards a better understanding and control of local failure
                      processes in materials.},
      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) / MuDiLingo - A
                      Multiscale Dislocation Language for Data-Driven Materials
                      Science (759419)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)759419},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000882200400008},
      doi          = {10.1016/j.commatsci.2022.111830},
      url          = {https://juser.fz-juelich.de/record/910955},
}