Dataset

FZJ-2026-01100

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Dataset for Publication: Bayesian Optimization of Electrode Conditioning of Ni(-Fe) Electrodes for the Alkaline Oxygen Evolution Reaction

Seidenberg, R.RWTH* ; Gohlke, C.RWTH* ; Diebold, R.RWTH* ; Seidl, V.RWTH* ; Mechler, A.FZJ*RWTH* ; Mitsos, A.FZJ*RWTH* ; Bongartz, D.

2025
Zenodo

This record in other databases:  

Please use a persistent id in citations: doi:10.5281/ZENODO.15877928

Abstract: The provided repository contains the data of the manuscript 'Bayesian Optimization of Electrode Conditioning of Ni(-Fe) Electrodes for the Alkaline Oxygen Evolution Reaction' (DOI: 10.1002/celc.202500284). In our manuscript, we present a systematic approach to efficiently optimize the cyclic voltammetry conditioning profile using Bayesian optimization. For a Ni-Fe electrode, we achieved a larger electrochemical activation in fewer experiments than in of our previous work. More details can be read in the manuscript.

Keyword(s): Electrochemistry ; Alkaline Water Electrolysis ; Electrocatalyst Preparation ; Electrode Activation ; Bayesian Optimization

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Contributing Institute(s):

1. Modellierung von Energiesystemen (ICE-1)

Research Program(s):

1. 899 - ohne Topic (POF4-899) (POF4-899)

Appears in the scientific report 2025

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