Data-driven Discovery of Electrocatalysts

Although recent advances in modern computational methodologies, the rational design of electrocatalysts remains a formidable challenge. This difficulty arises primarily from two factors : (1) the intrinsic complexity of electrode processes associated with the reactions of interest, such as hydrogen evolution reaction or oxygen evolution reaction, and (2) the insufficient availability of detailed microscopic mechanistic insights of these electrode processes. In this essay, a simple data-driven approach is presented with the aim of reducing the time-consuming trial-and-error phases in the optimisation of electrocatalyst synthesis, thereby allowing greater time on elucidating the fundamental questions why the materials identified through data-driven approaches exhibit better electrochemical properties.

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Publication Details

Journal
Vacuum and Surface Science
Published
2026-06-09
DOI
https://doi.org/10.1380/vss.69.303
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
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Data-driven Discovery of Electrocatalysts

Ken Sakaushi
Vacuum and Surface Science
Electrocatalysts for Energy Conversion
article

Data-driven Discovery of Electrocatalysts

Ken Sakaushi
article en

Abstract

Although recent advances in modern computational methodologies, the rational design of electrocatalysts remains a formidable challenge. This difficulty arises primarily from two factors : (1) the intrinsic complexity of electrode processes associated with the reactions of interest, such as hydrogen evolution reaction or oxygen evolution reaction, and (2) the insufficient availability of detailed microscopic mechanistic insights of these electrode processes. In this essay, a simple data-driven approach is presented with the aim of reducing the time-consuming trial-and-error phases in the optimisation of electrocatalyst synthesis, thereby allowing greater time on elucidating the fundamental questions why the materials identified through data-driven approaches exhibit better electrochemical properties.

Vacuum and Surface ScienceVol. 69(6)
University of Tsukuba (JP), National Institute for Materials Science (JP)
Openalex Percentile: Top 19%
Electrocatalysts for Energy Conversion
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