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Distorted Ge–O–Fe Microstructure as an Active Unit in Hematite to Accelerate Solar Water Splitting

2024· article· en· W4393094528 on OpenAlex
Cheng Lü, Kun Feng, Chang Li, Jiabin Xu, Shuo Li, Yong Feng, Ye Zhu, Shifeng Wang, Jun Zhong

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACS Materials Letters · 2024
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
KeywordsHematiteMicrostructureMaterials scienceWater splittingUnit (ring theory)Engineering physicsMetallurgyChemistryPhysicsPsychologyPhotocatalysis

Abstract

fetched live from OpenAlex

The local atomic structure in hematite determines its intrinsic property for photoelectrochemical water splitting, but its precise design has rarely been clearly demonstrated. Here by inserting Ge atoms into a hematite lattice with abundant vacancies, the local environment around Fe can be significantly modulated with the formation of a distorted Ge–O–Fe microstructure, which serves as an active catalytic unit to lower the energy barrier for an efficient oxygen evolution reaction. As a result, the optimized Ge–Fe 2 O 3 (LV) photoanode exhibits an excellent photocurrent density of 4.04 mA/cm 2 at 1.23 V RHE, which is 5.0 times higher than that of pristine Fe 2 O 3 (0.80 mA/cm 2 ). It can further achieve 5.09 mA/cm 2 at 1.23 V RHE (stable over 100 h) by coupling with FeNiOOH. Furthermore, when connecting the Ge-based hematite with a commercial solar cell, the all-solar-driven system can realize an outstanding solar-to-hydrogen efficiency of up to 5.3%, standing for the top value for hematite-based systems. The Ge–O–Fe unit induced catalytic performance enhancement may shed light on the design of efficient catalysts for solar water splitting.

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.

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 categoriesInsufficient payload (model declined to judge)
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 score0.023
Threshold uncertainty score1.000

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)0.0010.001

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 head0.013
GPT teacher head0.258
Teacher spread0.244 · 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