How machine learning can accelerate electrocatalysis discovery and optimization

How machine learning can accelerate electrocatalysis discovery and optimization

Materials Horizons

10.1039/D2MH01279K

http://dx.doi.org/10.1039/d2mh01279k

Stephan N. Steinmann, Qing Wang, Zhi Wei Seh

Electrical and Electronic Engineering, General Materials Science, Mechanics of Materials, Process Chemistry and Technology

09 December 2022

Steinmann, S. N., Wang, Q., & Seh, Z. W. (2023). How machine learning can accelerate electrocatalysis discovery and optimization. Materials Horizons, 10(2), 393–406. https://doi.org/10.1039/d2mh01279k

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.

Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

This research is supported by core funding from: SERC
Grant Reference no. : NA

https://oar.a-star.edu.sg/communities-collections/articles/19135

2051-6355
2051-6347

Institute of Materials Research and Engineering