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@PHDTHESIS{Gohlke:1024182,
      author       = {Gohlke, Clara Marie},
      othercontributors = {Mechler, Anna Katharina and Etzold, Bastian J. M.},
      title        = {{E}lectrochemical activation of {N}i-based electrodes for
                      the alkaline oxygen evolution reaction},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2025-11036},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2025},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University 2026; Dissertation, Rheinisch-Westfälische
                      Technische Hochschule Aachen, 2025},
      abstract     = {The transition to renewable energy sources requires
                      efficient and sustainable energy storage systems, such as
                      green hydrogen produced by alkaline water electrolysis
                      (AWE). To meet the rising demands, reducing cell potential
                      and lowering manufacturing costs are crucial. The sluggish
                      kinetics of the oxygen evolution reaction at the anode
                      offers optimization potential by efficient electrocatalyst
                      design. Here, electrochemical conditioning is a promising
                      tool as it is easily applicable and versatile. Previously,
                      electrochemical conditioning has already been used to study
                      the oxide growth on Ni and Fe and to find a low-cost and
                      highly active electrocatalyst from steel. However, the
                      interplay of the conditioning and the Ni:Fe-ratio of the
                      electrode, which is often stated as oxygen evolution
                      reaction activity descriptor, is not fully understood yet.
                      This raises the question of how activation, surface changes,
                      and electrochemical conditioning parameters are correlated
                      for a model electrode with a Ni:Fe ratio in the optimum
                      regime, considering the influence of Fe from the
                      electrolyte. Investigating this requires a suitable testing
                      system. While reported analytical electrochemical flow cells
                      with online downstream analysis (iEFCs) are valuable for
                      studying activity and stability, their designs differ
                      significantly from industrial setups, complicating knowledge
                      transfer.This work addresses these challenges by designing
                      an iEFC with $\mathrm{1~cm^{2}}$ parallel electrodes to
                      study the activity and stability of electrocatalysts
                      simultaneously under industrially more relevant conditions.
                      Simulation and experimental validation showed that the
                      herein-designed iEFC enables a precise activity
                      determination (Koutecký-Levich slope of >0.95) over a wide
                      potential range and minimal dilution of reaction products
                      with a restricted volume flow. The stability determination
                      was proven by online monitoring of the electrode dissolution
                      with peak smearing comparable to reported values. This
                      advanced iEFC was used to study the electrochemical
                      conditioning of Ni-(Fe)-based electrodes to enhance the
                      oxygen evolution reaction performance. Systematic parameter
                      variation revealed consistent activation trends across the
                      tested materials, promising universal activation guidelines
                      and suggesting a similar activation mechanism. These
                      activation trends are suggested to result primarily from
                      surface oxidation and enlargement, with Fe dissolution from
                      Ni-Fe-based electrodes or rather Fe incorporation into
                      Ni-based electrodes being linearly linked with the
                      (hydr)oxide formation. This increased understanding of
                      conditioning parameters, activation, and surface changes
                      offers a framework for tailoring any (pre-)catalyst’s
                      conditioning to maximize performance or induce a certain
                      surface change. Finally, the enduring activation efficacy
                      during long-term electrolysis at $\mathrm{100~mA~cm^{-2}}$
                      and relevance to industrially more relevant conditions was
                      demonstrated, i.e. $\mathrm{12~cm^{2}}$ electrodes,
                      application of a separator, 30 wt\% KOH, 80 °C, and higher
                      loads. This makes the technology, including in-situ
                      (re)activation of electrodes, more viable for large-scale
                      applications, helping to reduce cell potential and optimize
                      the anode manufacturing.Overall, this work stresses the
                      importance of conditioning in enhancing the OER performance
                      and demonstrates how to improve the catalysts' effectiveness
                      by tailoring oxides.},
      cin          = {422020},
      ddc          = {620},
      cid          = {$I:(DE-82)422020_20200514$},
      pnm          = {BMBF 03HY105A - PrometH2eus : Verbundvorhaben
                      $H2Giga_QT1.1:$ Projektverbund zur optimierten
                      Materialentwicklung für die technische H2-Erzeugung durch
                      verbesserte Sauerstoffelektroden (03HY105A)},
      pid          = {G:(BMBF)03HY105A},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2025-11036},
      url          = {https://publications.rwth-aachen.de/record/1024182},
}