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@ARTICLE{Brinckmann:891753,
      author       = {Brinckmann, Steffen and Schwaiger, Ruth},
      title        = {{T}owards enhanced nanoindentation by image recognition},
      journal      = {Journal of materials research},
      volume       = {36},
      issn         = {2044-5326},
      address      = {Cambridge [u.a.]},
      publisher    = {Cambridge Univ. Press},
      reportid     = {FZJ-2021-01713},
      pages        = {2266-2276},
      year         = {2021},
      abstract     = {The Oliver–Pharr method is maybe the most established
                      method to determine a material’s Young’s modulus and
                      hardness. However, this method has a number of requirements
                      that render it more challenging for hard and stiff
                      materials. Contact area and frame stiffness have to be
                      calibrated for every tip, and the surface contact has to be
                      accurately identified. The frame stiffness calibration is
                      particularly prone to inaccuracies since it is easily
                      affected, e.g., by sample mounting. In this study, we
                      introduce a method to identify Young’s modulus and
                      hardness from nanoindentation without separate area function
                      and frame stiffness calibrations and without surface contact
                      identification. To this end, we employ automatic image
                      recognition to determine the contact area that might be less
                      than a square micrometer. We introduce the method and
                      compare the results to those of the Oliver–Pharr method.
                      Our approach will be demonstrated and evaluated for
                      nanoindentation of Si, a hard and stiff material, which is
                      challenging for the proposed method.},
      cin          = {IEK-2},
      ddc          = {670},
      cid          = {I:(DE-Juel1)IEK-2-20101013},
      pnm          = {122 - Elektrochemische Energiespeicherung (POF4-122) / 1241
                      - Gas turbines (POF4-124)},
      pid          = {G:(DE-HGF)POF4-122 / G:(DE-HGF)POF4-1241},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000636935300001},
      doi          = {10.1557/s43578-021-00173-x},
      url          = {https://juser.fz-juelich.de/record/891753},
}