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@ARTICLE{Danilov:874738,
      author       = {Danilov, Dmitri and Chen, Chunguang and Jiang, Ming and
                      Eichel, Rüdiger-A. and Notten, Peter H. L.},
      title        = {{O}n the conversion of {NDP} energy spectra into depth
                      concentration profiles for thin-films all-solid-state
                      batteries},
      journal      = {Radiation effects and defects in solids},
      volume       = {175},
      number       = {3-4},
      issn         = {1029-4953},
      address      = {London [u.a.]},
      publisher    = {Taylor $\&$ Francis},
      reportid     = {FZJ-2020-01647},
      pages        = {367 - 382},
      year         = {2020},
      abstract     = {A three-step numerical procedure has been developed, which
                      facilitates the conversion of NDP energy spectra into
                      lithium concentration depth profiles for thin-film Li-ion
                      batteries. The procedure is based on Monte Carlo modeling of
                      the energy loss of charged particles (ions) in the solid
                      media, using the publically available SRIM/TRIM software.
                      For the energy-to-depth conversion, the battery stack has
                      been split into finite volume elements. Each finite volume
                      element becomes a source of ions according to the employed
                      nuclear reaction. Ions loos energy when they move across the
                      battery stack towards the detector. The as-obtained
                      simulated spectra have been compared with the experimentally
                      measured spectra. The thicknesses of the battery stack
                      layers were estimated by minimizing the deviation between
                      the simulated and measured spectra. Subsequently, a relation
                      between the average energy of detected ions and the depth of
                      the corresponding finite volume element, yielding a
                      calibration function, was used to relate that particular
                      part of the spectra with the depth of its source. At the
                      final stage, a Bayesian estimator was used to find the
                      distribution of lithium at a particular depth. The developed
                      procedure was applied to a practically relevant case study
                      of Si immobilization in the LPO electrolyte of
                      all-solid-state thin-film batteries. It is shown that the
                      lithium immobilization process in the LPO electrolyte is
                      responsible for the battery degradation process.},
      cin          = {IEK-9},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IEK-9-20110218},
      pnm          = {131 - Electrochemical Storage (POF3-131)},
      pid          = {G:(DE-HGF)POF3-131},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000522130000014},
      doi          = {10.1080/10420150.2019.1701468},
      url          = {https://juser.fz-juelich.de/record/874738},
}