Distorted Ge–O–Fe Microstructure as an Active Unit in Hematite to Accelerate Solar Water Splitting
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".