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@ARTICLE{Wiefels:890987,
      author       = {Wiefels, Stefan and Von Witzleben, Moritz and Huttemann,
                      Michael and Bottger, Ulrich and Waser, Rainer and Menzel,
                      Stephan},
      title        = {{I}mpact of the {O}hmic {E}lectrode on the {E}ndurance of
                      {O}xide-{B}ased {R}esistive {S}witching {M}emory},
      journal      = {IEEE transactions on electron devices},
      volume       = {68},
      number       = {3},
      issn         = {1557-9646},
      address      = {New York, NY},
      publisher    = {IEEE},
      reportid     = {FZJ-2021-01297},
      pages        = {1024 - 1030},
      year         = {2021},
      abstract     = {As one of the key aspects in the reliability of redox-based
                      resistive switching memories (ReRAMs), maximizing their
                      endurance is of high relevance for industrial applications.
                      The major limitation regarding endurance is considered the
                      excessive generation of oxygen vacancies during cycling,
                      which eventually leads to irreversible RESET failures. Thus,
                      the endurance could be increased by using combinations of
                      switching oxide and ohmic electrode (OE) metal that provides
                      a high barrier for the generation of oxygen vacancies
                      [defect formation energy (DFE)]. In this work, we present a
                      sophisticated programming algorithm that aims to maximize
                      the endurance within reasonable measurement time. Using this
                      algorithm, we compare ReRAM devices with four different OE
                      metals and confirm the theoretically predicted trend. Thus,
                      our work provides valuable information for device
                      engineering toward higher endurance.},
      cin          = {PGI-7 / JARA-FIT / PGI-10},
      ddc          = {620},
      cid          = {I:(DE-Juel1)PGI-7-20110106 / $I:(DE-82)080009_20140620$ /
                      I:(DE-Juel1)PGI-10-20170113},
      pnm          = {523 - Neuromorphic Computing and Network Dynamics
                      (POF4-523) / Verbundprojekt: Neuro-inspirierte Technologien
                      der künstlichen Intelligenz für die Elektronik der Zukunft
                      - NEUROTEC -, Teilvorhaben: Forschungszentrum Jülich
                      (16ES1133K) / BMBF-16ES1134 - Verbundprojekt:
                      Neuro-inspirierte Technologien der künstlichen Intelligenz
                      für die Elektronik der Zukunft - NEUROTEC -
                      (BMBF-16ES1134)},
      pid          = {G:(DE-HGF)POF4-523 / G:(BMBF)16ES1133K /
                      G:(DE-82)BMBF-16ES1134},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000622100700013},
      doi          = {10.1109/TED.2021.3049765},
      url          = {https://juser.fz-juelich.de/record/890987},
}