In this mini-review, we discuss what insight computational modelling can provide into the working of photocatalysts for solar fuel synthesis and how calculations can be used to screen for new promising materials for photocatalytic water splitting and carbon dioxide reduction. We will extensively discuss the different relevant (material) properties and the computational approaches (DFT, TD-DFT, GW/BSE) available to model them. We illustrate this with examples from the literature, focussing on polymeric and nanoparticle photocatalysts. We finish with a perspective on the outstanding conceptual and computational challenges.
Guiglion, P., Berardo, E., Butchosa, C., Wobbe, M. C. C., & Zwijnenburg, M. A. (2016, January 25). Modelling materials for solar fuel synthesis by artificial photosynthesis; Predicting the optical, electronic and redox properties of photocatalysts. Journal of Physics Condensed Matter. Institute of Physics Publishing. https://doi.org/10.1088/0953-8984/28/7/074001