{
  "abstract": "Kinetic measurements can support or falsify mechanistic hypotheses in electrocatalysis, but only when rates reflect intrinsic catalytic behavior and models separate kinetic information from experimental artifacts and interfacial complexity. This perspective presents best practices for acquiring and interpreting electrocatalytic kinetic data, including mitigating artifacts arising from transport, ohmic losses, catalyst restructuring, contamination, and incomplete product accounting. Similarly, we provide guidelines for constructing rate expressions that treat elementary charge transfer, adsorption, and surface coverage, which enable interpretation of kinetic observables like apparent transfer coefficients, rate orders, and apparent activation energies that reflect properties of an interconnected reaction network. Mechanistic conclusions are strongest when competing hypotheses are tested against multiple complementary observables, including spectroscopy, isotopic labeling, and theory, enabling meaningful and reproducible mechanistic comparisons across laboratories.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 14,
  "authors": [
    {
      "name": "Jason Adams"
    },
    {
      "name": "Jason S. Bates"
    },
    {
      "name": "David Raciti"
    },
    {
      "name": "Robert E. Warburton"
    },
    {
      "name": "Adam Holewinski"
    },
    {
      "name": "Joaquin Resasco"
    },
    {
      "name": "Kelsey Stoerzinger"
    },
    {
      "name": "Anne C. Co"
    },
    {
      "name": "G. T. Kasun Kalhara Gunasooriya"
    },
    {
      "name": "Marcel Schreier"
    },
    {
      "name": "Anthony Shoji Hall"
    },
    {
      "name": "Elizabeth J. Biddinger"
    },
    {
      "name": "Ezra Clark"
    },
    {
      "name": "Eric Stuve"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/37tp6qh85m40t.bib",
  "cited_by": 1,
  "doi": "10.26434/chemrxiv.15010884/v1",
  "fulltext_url": null,
  "id": "37tp6qh85m40t",
  "issns": [],
  "landing_url": "https://chemrxiv.org/doi/full/10.26434/chemrxiv.15010884/v1",
  "language": null,
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2105|Electrocatalysts for Energy Conversion"
    ]
  ],
  "openalex": "W7223183698",
  "pdf_url": "https://chemrxiv.org/doi/pdf/10.26434/chemrxiv.15010884/v1",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-22",
  "publisher": "American Chemical Society (ACS)",
  "ris": "https://research.draconitic.com/paper/37tp6qh85m40t.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:26Z",
      "native_id": "10.26434/chemrxiv.15010884",
      "source": "chemrxiv",
      "url": "https://chemrxiv.org/doi/full/10.26434/chemrxiv.15010884/v1"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "openalex:2105|Electrocatalysts for Energy Conversion",
      "subfield": "electrochemistry-energy"
    }
  ],
  "title": "Rigor & Reproducibility in Electrocatalysis: Best Practices for Kinetic Studies",
  "title_text": "Rigor & Reproducibility in Electrocatalysis: Best Practices for Kinetic Studies",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:26Z",
  "url": "https://research.draconitic.com/paper/37tp6qh85m40t",
  "venue": "ChemRxiv",
  "versions": []
}