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Record W4415435896 · doi:10.1021/acscatal.5c04809

In Situ Observed Local Structural Distortions Boost Solar Water Splitting in Hematite

2025· article· en· W4415435896 on OpenAlexaff
Cheng Lu, Jiabin Xu, Shuo Li, Yong Feng, Bai Xu, Gongcheng Liu, Ye Zhu, Kun Feng, Jun Zhong

Bibliographic record

VenueACS Catalysis · 2025
Typearticle
Languageen
FieldEnergy
TopicIron oxide chemistry and applications
Canadian institutionsWestern University
FundersNational Key Research and Development Program of ChinaHigher Education Discipline Innovation ProjectCollaborative Innovation Center of Suzhou Nano Science and TechnologyPriority Academic Program Development of Jiangsu Higher Education InstitutionsNational Natural Science Foundation of China
KeywordsHematiteIn situWater splittingCatalysisSolar energySolar energy conversion

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Although hematite (α-Fe 2 O 3 ) is considered a promising photoanode material for photoelectrochemical (PEC) water splitting, its practical application is limited by inherently low charge transport efficiency and sluggish oxygen evolution reaction (OER) kinetics. In this study, in situ synchrotron X-ray absorption spectroscopy (XAS) was employed under illumination to distinctly observe the transient electronic structure changes at Fe sites and to elucidate their structure–activity relationship with the stretching of Fe–O bond. It is revealed that local distortions induced by Fe–O bond stretching enhance the hybridization of O 2p-Fe 3d orbitals, promote electron transfer, and facilitate the formation of Fe 4+ active sites. Such structural modulation significantly suppresses surface charge recombination, thus accelerating the OER kinetics. Leveraging this mechanism, an In-Fe 2 O 3 (LV) photoanode was constructed, delivering a photocurrent density of 3.66 mA cm –2 at 1.23 V RHE, with an onset potential negatively shifted to 0.86 V RHE . Upon coupling with a FeNiOOH cocatalyst, the photocurrent density is further enhanced to 4.32 mA cm –2, and the onset potential is reduced to 0.77 V RHE . This study employs atomic-scale in situ characterization to systematically elucidate the structure–activity relationship between local lattice distortions and enhanced OER performance, providing actionable insights and strategies for the rational design of high-efficiency photoanodes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.242
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

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