Published in

Rsc, Materials Horizons, 2(10), p. 393-406, 2023

DOI: 10.1039/d2mh01279k

Links

Tools

Export citation

Search in Google Scholar

How machine learning can accelerate electrocatalysis discovery and optimization

Journal article published in 2023 by Stephan N. Steinmann ORCID, Qing Wang ORCID, Zhi Wei Seh ORCID
This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Full text: Unavailable

Question mark in circle
Preprint: policy unknown
Question mark in circle
Postprint: policy unknown
Question mark in circle
Published version: policy unknown
Data provided by SHERPA/RoMEO

Abstract

Machine learning can accelerate the process of electrocatalyst discovery and optimization, especially when incorporated into a closed-loop approach with autonomous laboratories. This review highlights the recent progress and challenges in this field.