Study of the Effect of Calcination Temperature on the Morphology and Activity of Iridium Oxide Electrocatalyst Supported on Antimony Tin Oxide (ATO) for PEM Electrolyser Technology
Bibliographic record
Abstract
Iridium oxide nanoparticles supported on Antimony Tin oxide (ATO) have been used for oxygen evolution reaction in polymer electrolyte membrane (PEM) electrolysis. The morphology, crystallinity, catalyst-support interaction and electrocatalyst oxygen evolution reaction (OER) activity of the catalyst Iridium oxide supported on ATO at various calcination temperatures have been studied. The supported catalyst was synthesized using the modified Polyol method. The synthesized electrocatalyst was physically characterized by Differential Scanning Calorimetry, Thermogravimetric Analysis, X-ray Diffraction (XRD), Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM) and Brunauer, Emmett and Teller BET surface area measurements. The catalyst was electrochemically characterized by cyclic voltammetry and polarization measurements in a typical three electrode system. The main focus of this work is to study the effect of calcination temperatures of 200, 350, 500 and 700 ⁰C. Iridium oxide phases formed as a function of temperature, degree of crystallization as well as the interaction of Iridium oxide nanoparticles with the ATO nanoparticles support will be presented.
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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".