Computationally screening non-precious single atom catalysts for oxygen reduction in alkaline media
Why this work is in the frame
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Bibliographic record
Abstract
The performance of single-atom catalysts (SACs) containing Sc, Ti, V, Mn, Fe, Ni, Cu, and Pt on N-doped carbon (NC) as possible cathodes in advanced chlor-alkali electrolysis has been investigated by means of density functional theory (DFT) with the aim of finding candidates to improve the sluggish kinetics of the oxygen reduction reaction (ORR). A plausible mechanism is proposed for the ORR that allows making use of the computational hydrogen electrode (CHE) approach in this environment, and suitable models have been used to estimate the free-energy changes corresponding to the elementary reaction steps. The performance of the different catalysts has been analyzed in terms of the electrochemical-step symmetry index (ESSI) and Gmax descriptors. From these descriptors, the Cu-containing SAC is predicted to exhibit the highest catalytic activity which is consistent with a theoretical overpotential of 0.71 V vs. the standard hydrogen electrode (SHE) only, indicating that this type of catalysts in oxygen depolarized cathodes (ODCs) may overcome the limitations of the high cost and low abundance of Pt and other precious metals.
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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 | 0.001 | 0.001 |
| 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 it