Photocorrosion, Protection, and Predictive Design in Solar Water Splitting

Photoelectrochemical (PEC) technology is a promising pathway for cost-effective, renewable, and clean fuel production from sunlight and water, addressing critical global energy demands. Despite extensive efforts, the major challenges, including unsatisfactory solar-to-hydrogen (STH) efficiency of less than 11.2% and limited long-term stability of less than 3000 h, for the commercialization of PEC water-splitting devices remain unresolved. To strengthen PEC performance and facilitate commercialization, we provide a comprehensive review of key fundamental mechanisms, recent advances in functional materials, interfacial engineering strategies, advanced characterization methods, and computational strategies. These aspects are interrelated and can synergistically form a feedback loop. In particular, computing strategies, which involve artificial intelligence (AI) for predicting device performance and automating experimental processes, can enable circulation within the feedback loop and hence accelerate the advancement of PEC water-splitting devices toward commercial viability (STH efficiency: >15% and long-term stability: >5 years). Ultimately, we aim to inspire researchers in this community through this comprehensive approach to the commercial production of green hydrogen applicable to diverse industrial sectors.

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Publication Details

Journal
Small
Published
2026-08-27
DOI
https://doi.org/10.1002/smll.75177
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Photocorrosion, Protection, and Predictive Design in Solar Water Splitting

Donghyeon Kang, Girish U. Kamble, Uma V. Ghorpade, Mahesh P. Suryawanshi et al.
Small
Advanced Photocatalysis Techniques
article

Photocorrosion, Protection, and Predictive Design in Solar Water Splitting

Donghyeon Kang, Girish U. Kamble, Uma V. Ghorpade, Mahesh P. Suryawanshi, Keeyoung Jung, Donghoon Song, Jin Hyeok Kim, Youseong Park, Seung Wook Shin
article en

Abstract

Photoelectrochemical (PEC) technology is a promising pathway for cost-effective, renewable, and clean fuel production from sunlight and water, addressing critical global energy demands. Despite extensive efforts, the major challenges, including unsatisfactory solar-to-hydrogen (STH) efficiency of less than 11.2% and limited long-term stability of less than 3000 h, for the commercialization of PEC water-splitting devices remain unresolved. To strengthen PEC performance and facilitate commercialization, we provide a comprehensive review of key fundamental mechanisms, recent advances in functional materials, interfacial engineering strategies, advanced characterization methods, and computational strategies. These aspects are interrelated and can synergistically form a feedback loop. In particular, computing strategies, which involve artificial intelligence (AI) for predicting device performance and automating experimental processes, can enable circulation within the feedback loop and hence accelerate the advancement of PEC water-splitting devices toward commercial viability (STH efficiency: >15% and long-term stability: >5 years). Ultimately, we aim to inspire researchers in this community through this comprehensive approach to the commercial production of green hydrogen applicable to diverse industrial sectors.

Small
Chonnam National University (KR), The University of Sydney (AU), Sunchon National University (KR), UNSW Sydney (AU), Korea Rural Economic Institute (KR)
National Research Foundation of Korea, Ministry of Education, Science and Technology
Industry, innovation and infrastructure
Openalex Percentile: Top 28%
Advanced Photocatalysis Techniques
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