Structure-engineered electrocatalyst enables highly active and stable oxygen evolution reaction over layered perovskite LaSr<sub>3</sub>Co<sub>1.5</sub>Fe<sub>1.5</sub>O<sub>10-delta</sub>
Bibliographic record
Abstract
To accelerate the kinetics of oxygen evolution reaction (OER) on H2O oxidation regarding the energy conversion and storage approaches, the discovery and design of desirable cost-effective and highly efficient electrocatalysts is of prime importance. This study demonstrates a novel layered perovskite via Co-doping strategy, i.e. LaS(r)3Co(1.5)Fe(1.5)O(10-delta), which possesses significantly higher electrocatalytic activity, considerably lower over-potential and Tafel slope, remarkably higher mass activity (MA) and specific activity (SA) together with a better long-term stability than the undoped parent perovskite, the state-of-the-art IrO2 and the most active Ba0.5Sr0.5Co0.8Fe0.2O3-delta (BSCF) under harsh OER cycling conditions in alkaline solution. These merits mainly originate from the presence of partial oxidation of surface Co3+ to Co4+ in LaSr3Co1.5Fe1.5O10-delta, an appropriate possible structure-dependent position of O p-band centre to the Fermi level and an increased amount of highly oxidative oxygen species O-2(2-)/O- in conjunction with a strong OH- adsorption and O-2 desorption abilities. These findings not only improve the electrocatalytic activities of the layered perovskite family via optimal doping but also highlight the potential application of LaSr3Co1.5Fe1.5O10-delta as an earth-abundant, cost-effective, highly active and durable electrocatalyst for OER in energy conversion and storage technologies.
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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) | 0.001 | 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".