Eggshell-like MoS<sub>2</sub> Nanostructures with Negative Curvature and Stepped Faces for Efficient Hydrogen Evolution Reactions
Bibliographic record
Abstract
As an alternative to the state-of-the-art Pt-based materials, MoS2 has attracted substantial attention as a hydrogen evolution reaction (HER) catalyst. In this study, density functional theory calculations reveal that negative curvature and stepped faces of MoS2 could weaken the hydrogen adsorption, leading to high intrinsic catalytic activity for HER. Based on this consideration, a MoS2 catalyst with an ultrathin eggshell-like nanostructure is designed and fabricated, where the uniform porous structure together with ultrathin layers exposes more active sites. Such a porous MoS2 catalyst exhibits an overpotential of 180 mV at a current density of −10 mA cm–2, outperforming most of the current MoS2 catalysts.
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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".