Iridium–Nickel Nanoparticle-Based Aerogels for Oxygen Evolution Reaction
Bibliographic record
Abstract
Iridium is considered the state-of-the-art electrocatalyst for the oxygen evolution reaction (OER) in acidic media owing to its considerably high activity and stability, yet it is a raw material that is expensive and rare. Here we present a synthesis of a bimetallic hollow aerogel structure based on iridium and nickel prepared by a very simple and environmentally friendly method. Our electrocatalyst was evaluated for the OER in a single electrolysis cell, and it showed an improvement in electrocatalytic performance over time, reaching the current density of commercial IrO2 after 500 h of the stability test, despite half the catalyst loading. Our innovative synthesis approach provides the flexibility to tailor and improve the aerogel structures for other electrochemical devices as well, for example, photoelectrolysis, sensors, and more. In addition, we believe that this study can lead to a better understanding of the fundamental behavior of bimetallic electrocatalysts consisting of mixed compositions with transition metals.
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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 | 0.001 | 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".