Data and codes for "Accelerating electrode optimization for Alkaline Water Splitting with SECCM and SEM/EDX for a Ni-Co gradient alloy"

Mendeley Data 2026 Dataset Open access

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Authors: Anton Voronkin, Sebastian Costea, Xinhua Zhu, Jean-François Vanhumbeeck, Nathalie Job, Jon Ustarroz
DOI: 10.17632/dmz6mv9z9s
Cited by: 0

Abstract

Python codes and datasets associated with the paper "Accelerating electrode optimization for alkaline water splitting with SECCM and SEM/EDX for a Ni-Co gradient alloy" by Anton Voronkin, Sebastian Costea, Xinhua Zhu, Jean-François Vanhumbeeck, Nathalie Job, and Jon Ustarroz are provided. These include all SECCM measurements, three-electrode cell electrochemical data, SEM and EDX characterization datasets, as well as the Python scripts used for data analysis.

Fields of Study & Subjects

Electrocatalysts for Energy Conversion CO2 Reduction Techniques and Catalysts Fuel Cells and Related Materials

Publication details

Journal / source
Mendeley Data
Publication date
10 August 2026
Language
EN
Document type
Dataset