Useful information on this subject can be found in informative published papers like:

1- Mai et al. Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery, Chemical Reviews, 2022.

2- Esterhuizen et al. Interpretable machine learning for knowledge generation in heterogeneous catalysis, Nature Catalysts, 2022.

3- Chen et al. Recent progress toward catalyst properties, performance, and prediction with data-driven methods, Current Opinion in Chemical Engineering, 2022.

4- Liu et al. Finding physical insights in catalysis with machine learning, Current Opinion in Chemical Engineering, 2022.

5- Gaviria et al. Machine learning in photovoltaic systems: A review, Renewable Energy, 2022.

6- Oviedo et al. Nanoarchitectonics: the role of artificial intelligence in the design and application of nanoarchitectures, Journal of Nanoparticle research, 2022.