OER Performances of Cationic Substituted (100)-Oriented IrO<sub>2</sub> Thin Films: A Joint Experimental and Theoretical Study
Bibliographic record
Abstract
Cationic substitution was investigated as a strategy to increase the electrocatalytic activity of IrO2-based films for the oxygen evolution reaction (OER). For this purpose, an approach that combines detailed experimental characterization with quantum mechanical calculations based on density functional theory was employed. A series of (100)-oriented Ir1–xMxO2 thin films, with M = Ni, Cr, Mo, W, Sn, Pt, Rh, Ru, V, and Mn, was prepared with a one-step synthesis approach based on pulsed laser deposition, and the electrocatalytic activity of these films for the OER was measured. Matching material compositions and structures were generated in silico for DFT-based calculations of their electronic structure and OER pathway. A comparison of the experimental and theoretical results revealed the viable activity descriptor, paving the way for a systematic search to find the most active Ir-based OER catalyst.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".