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@ARTICLE{Xia:624847,
      author       = {Xia, Lu and Gomes, Bruna Ferreira and Jiang, Wulyu and
                      Escalera-López, Daniel and Wang, Yang and Hu, Yang and
                      Faid, Alaa Y. and Wang, Kaiwen and Chen, Tengyu and Zhao,
                      Kaiqi and Zhang, Xu and Zhou, Yingtang and Ram, Ranit and
                      Polesso, Barbara and Guha, Anku and Su, Jiaqi and Lobo,
                      Carlos and Haumann, Michael and Spatschek, Robert and Sunde,
                      Svein and Gan, Lin and Huang, Ming and Zhou, Xiaoyuan and
                      Roth, Christina and Lehnert, Werner and Cherevko, Serhiy and
                      Gan, Liyong and Garcia de Arquer, F. Pelayo and Shviro,
                      Meital},
      title        = {{O}perando-informed precatalyst programming towards
                      reliable high-current-density electrolysis},
      journal      = {Nature materials},
      volume       = {24},
      number       = {5},
      issn         = {1476-1122},
      address      = {Basingstoke},
      publisher    = {Nature Publishing Group},
      reportid     = {PUBDB-2025-00929},
      pages        = {753 - 761},
      year         = {2025},
      note         = {Publisher's Bespoke License},
      abstract     = {Electrocatalysts support crucial industrial processes and
                      emerging decarbonization technologies, but their design is
                      hindered by structural and compositional changes during
                      operation, especially at application-relevant current
                      densities. Here we use operando X-ray spectroscopy and
                      modelling to track, and eventually direct, the
                      reconstruction of iron sulfides and oxides for the oxygen
                      evolution reaction. We show that inappropriate activation
                      protocols lead to uncontrollable Fe oxidation and
                      irreversible catalyst degradation, compromising stability
                      and reliability and precluding predictive design. Based on
                      these, we develop activation programming strategies that,
                      considering the thermodynamics and kinetics of surface
                      reconstruction, offer control over precatalyst oxidation.
                      This enables reliable predictions and the design of active
                      and stable electrocatalysts. In a Ni$_x$Fe$_{1−x}$S$_2$
                      model system, this leads to a threefold improvement in
                      durability after programmed activation, with a cell
                      degradation rate of 0.12 mV h$^ {−1}$ over 550 h
                      (standard operation: 0.29 mV h$^{−1}$, constrained to
                      200 h), in an anion exchange membrane water electrolyser
                      operating at 1 A cm$^{−2}$. This work bridges
                      predictive modelling and experimental design, improving the
                      electrocatalyst reliability for industrial water
                      electrolysis and beyond at high current densities.},
      cin          = {FS DOOR-User},
      ddc          = {610},
      cid          = {$I:(DE-H253)FS_DOOR-User-20241023$},
      pnm          = {6G3 - PETRA III (DESY) (POF4-6G3) / FS-Proposal: I-20221247
                      (I-20221247) / JUNIOR LEADER - Junior Leader la Caixa
                      Postdoctoral Fellowship Programme: Shaping the new
                      generation of leaders in research (847648) / NASCENT -
                      Nanoscale Advance of CO2 Electroreduction (101077243)},
      pid          = {G:(DE-HGF)POF4-6G3 / G:(DE-H253)I-20221247 /
                      G:(EU-Grant)847648 / G:(EU-Grant)101077243},
      experiment   = {EXP:(DE-H253)P-P64-20150101},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40021826},
      UT           = {WOS:001434078500001},
      doi          = {10.1038/s41563-025-02128-7},
      url          = {https://bib-pubdb1.desy.de/record/624847},
}