The Intricacies of Computational Electrochemistry

  • Nitish Govindarajan
  • , Georg Kastlunger
  • , Joseph A. Gauthier
  • , Jun Cheng
  • , Ivo Filot
  • , Arthur Hagopian
  • , Heine Anton Hansen
  • , Jun Huang
  • , Piotr M. Kowalski
  • , Jinwen Liu
  • , Juan M. Lombardi
  • , Mikael Maraschin
  • , Andrew Peterson
  • , Hemanth S. Pillai
  • , Hector Prats
  • , Conor J. Price
  • , René van Roij
  • , Jan Rossmeisl
  • , Ranga Rohit Seemakurthi
  • , Seung-Jae Shin
  • Audrey Smith, Jia-Xin Zhu, Katharina Doblhoff-Dier*
*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Computational electrochemistry is hard-anybody who has ever tried will know. We argue that the reasons for its complexity lie not only in the multiscale nature of electrochemical processes but also in the rapid, ongoing method development in the field. This has resulted in a lack of clear guidelines and many open discussions in the community. These issues were also the topic of a recent Lorentz Center workshop, the key take-away messages of which are highlighted in this Perspective. In particular, we discuss why the choice between constant potential and constant charge simulations is less trivial than it may seem, why interpreting electrochemical reaction free energy diagrams can be challenging, why the Poisson-Nernst-Planck equation is not all there is, and why we desperately need more benchmarking in the field.
Original languageEnglish
JournalACS Energy Letters
Volume10
Issue number9
Pages (from-to)4277-4288
Number of pages12
ISSN2380-8195
DOIs
Publication statusPublished - 2025

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