Simple and Scalable Synthetic Route for Tunable Compositions of Multimetallic Oxyfluorides as Oxygen Evolution Reaction Catalysts
Bibliographic record
Abstract
This work suggests a simple and scalable synthetic route to prepare multimetallic oxyfluorides, without requiring high temperature, high pressure, and a specific atmosphere (F 2, N 2, Ar, vacuum, etc.). For that, tunable compositions of Ni 2+ –Co 2+ –Fe 3+ -based oxyfluorides Co (1– x )/2 Ni x /2 Fe 0.5 O 0.5 F 1.5 have been prepared by calcination at moderate temperature under ambient air of Co 1– x Ni x FeF 5 (H 2 O) 7 precursors, prepared beforehand through coprecipitation at room temperature, across the whole range of the solid solution (0 ≤ x ≤ 1). Structural and thermal analyses confirmed the successful substitution for both hydrated fluoride precursors and oxyfluorides. Finally, we evaluated the electrocatalytic performance of the different Ni 2+ –Co 2+ –Fe 3+ oxyfluorides for oxygen evolution reaction. Among these, the trimetallic Co 0.25 Ni 0.25 Fe 0.5 O 0.5 F 1.5 exhibits the lowest overpotential (290 and 370 mV respectively at 10 and 100 mA cm –2 ) and the highest specific activity (3.9 A m –2 at 1.53 V vs RHE). These results highlight the need for compositional tunability to maximize performance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".