Basal Plane Activation via Grain Boundaries in Monolayer MoS<sub>2</sub> for Carbon Dioxide Reduction
Bibliographic record
Abstract
With the electrochemical carbon dioxide reduction reaction (CO 2 RR) being a promising method to reduce atmospheric carbon dioxide (CO 2 ), transition metal dichalcogenides (TMDCs), such as molybdenum disulfide (MoS 2 ), have recently risen as potential catalysts for CO 2 RR. However, pristine TMDCs are bottlenecked by the insufficiency of active sites in the basal plane. In this study, focusing on polycrystalline MoS 2, we perform systematic density functional theory calculations to investigate the role of grain boundaries (GBs) on the catalytic performance of MoS 2 for CO 2 RR. Our results show that most GBs contribute to lowering the reaction energy of the potential-limiting step in CO 2 RR. This effect can be further amplified with the introduction of S vacancies. In addition, the introduction of GBs with vacancies is shown to act as an effective method to break the scaling relations between reaction intermediates, which is crucial in improving catalytic efficiencies. Our findings demonstrate that defect engineering holds great potential to activate the basal plane of TMDCs for CO 2 RR, providing valuable insights into engineering TMDCs for high-performing CO 2 RR electrocatalysts.
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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 | 0.001 | 0.001 |
| 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".