Identification of Catalytic Active Sites in Nitrogen-Doped Carbon for Electrocatalytic Dechlorination of 1,2-Dichloroethane
Bibliographic record
Abstract
Nitrogen (N)-doped carbon materials are considered as the most promising alternative to replace noble-metal catalysts for electrocatalytic dechlorination of 1,2-dichloroethane (DCE), which is a promising reaction for industrial production and environmental protection. Unfortunately, the vague cognition of the catalytic active sites limits its further development. Herein, a series of surface N-doped porous carbon materials with adjustable N dopants were synthesized to identify the active sites for electrocatalytic dechlorination of DCE. The as-prepared catalyst showed fascinating DCE electrocatalytic dechlorination activity and ethylene selectivity at −2.75 V (vs SCE) with a current density of 17.94 mA cm–2geometry and ethylene Faradaic efficiency of 21%. The post hydrogen treatment and X-ray photoelectron spectroscopic analysis experimentally proved that the oxidized N acts as the active site for the dechlorination of DCE to CH2CH2, which was further theoretically confirmed by first-principles calculations. This work would open avenues for the development of N-doped carbon and the production of ethylene in an efficient and environmentally benign manner.
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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) | 0.000 | 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 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".