Evidence map›Paper›PMID 42657519›Full record

ReviewSmall (Weinheim an der Bergstrasse, Germany)2026

Photocorrosion, Protection, and Predictive Design in Solar Water Splitting.

Seung Wook Shin, Girish U Kamble, Uma V Ghorpade, Dong Hyun Kang, Youseong Park, Mahesh P Suryawanshi, Keeyoung Jung, Donghoon Song, Jin Hyeok Kim

Abstract readReview
In one paragraph

Review in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Seung Wook ShinRural Research Institute, Korea Rural Community Corporation, Ansan, Republic of Korea.ORCID https://orcid.org/0000-0003-1401-6145
Girish U KambleOptoelectronics Convergence Research Center and Department of Materials Science and Engineering, Chonnam National University, Gwangju, Republic of Korea.ORCID https://orcid.org/0009-0008-3436-7288
Uma V GhorpadeSchool of Chemical Engineering, UNSW Sydney, Sydney, Australia.
Dong Hyun KangOptoelectronics Convergence Research Center and Department of Materials Science and Engineering, Chonnam National University, Gwangju, Republic of Korea.
Youseong ParkOptoelectronics Convergence Research Center and Department of Materials Science and Engineering, Chonnam National University, Gwangju, Republic of Korea.
Mahesh P SuryawanshiSchool of Photovoltaic and Renewable Energy Engineering, UNSW Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0003-4711-7655
Keeyoung JungDepartment of Energy Science and Engineering (ESE), Sunchon National University, Suncheon, Republic of Korea.ORCID https://orcid.org/0000-0002-3332-2335
Donghoon SongInstitute for Battery Research (IBR), Sunchon National University, Suncheon, Republic of Korea.ORCID https://orcid.org/0000-0003-0914-1507
Jin Hyeok KimOptoelectronics Convergence Research Center and Department of Materials Science and Engineering, Chonnam National University, Gwangju, Republic of Korea.ORCID https://orcid.org/0000-0002-2220-1941

Funding

Australian Research Council (ARC) under Discovery Early Career Research Award (DECRA) DE210101565Ministry of Education (MOE) and the Jeollanamdo, Republic of Korea 2026-RISE-14-003Ministry of Education, Science and Technology 2018R1A6A1A03024334National Research Foundation of KoreaNational Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) 2022R1A2C2007219Regional Innovation System & Education (RISE)
6 · The paper itself

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.

Indexed as

characterization methodscomputing strategiesinterfacial engineeringlong‐term stabilityPEC water splitting devicesphotocorrosionsurface defects

Identifiers

PMID42657519
PMCPMC13568941

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.