Computational Approaches to Photoelectrode Design through Molecular Functionalization for Enhanced Photoelectrochemical Water Splitting. Issue 9 (13th March 2019)

• Record Type: Journal Article
• Authors: Iyer, Ashwathi; Kearney, Kara; Ertekin, Elif
• Is Part Of: ChemSusChem. Volume 12:Issue 9(2019)
• Page Start: 1858
• Page End: 1871
• Publication Date: 2019-03-13
• Subjects: ab initio calculations -- monolayers -- hybrid composites -- photocatalysis -- semiconductors; Green chemistry -- Periodicals; Sustainable engineering -- Periodicals; Chemistry -- Periodicals; Chemical engineering -- Periodicals; 660
• DOI: 10.1002/cssc.201802514
• Languages: English
• ISSNs: 1864-5631

Abstract

Abstract: Photoelectrochemical water splitting is a promising carbon‐free approach to produce hydrogen from water. A photoelectrochemical cell consists of a semiconductor photoelectrode in contact with an aqueous electrolyte. Its performance is sensitive to properties of the photoelectrode/electrolyte interface, which may be tuned through functionalization of the photoelectrode surface with organic molecules. This can lead to improvements in the photoelectrode's properties. This Minireview summarizes key computational investigations on using molecular functionalization to modify photoelectrode stability, barrier height, and catalytic activity. It is discussed how first‐principles density functional theory, first‐principles molecular dynamics, and device modeling simulations can provide predictive insights and complement experimental investigations of functionalized photoelectrodes. Challenges and future directions in the computational modeling of functionalized photoelectrode/electrolyte interfaces within the context of experimental studies are also highlighted. Abstract : Splitting models : Functionalization of photoelectrode surfaces with organic molecules can be used to tune the properties of the photoelectrode/electrolyte interface. This Minireview summarizes recent computational research on functionalized photoelectrodes, focusing on how first‐principles DFT, first‐principles molecular dynamics, and device modelling can be used to complement experimental studies and provide predictive insights on device performance for photoelectrochemical water splitting.