Enhanced photodetection properties of CVD-grown MOS2 nanosheets onto Ag-nanoparticles decorated substrates
Bibliographic record
Abstract
Coupling two-dimensional (2D)-MoS2 nanostructures with metal nanoparticles (NPs) can lead to unprecedented behaviors because of the coupling between the excitons in Mos2and the plasmons of the metal NPs. Here, we report the chemical vapor deposition (CVD) growth of vertical 2D-MoS2 nanosheets onto quartz substrates pre-decorated by Ag-NPs. The Ag-NPs were first deposited by pulsed laser deposition (PLD) and used as a catalyst in order to gain more control on the morphology of Mos2.By depositing Mos2on the PLD-deposited Ag-NPs, we found that the morphology of the CVD grown Mos2changes from planar to vertical 2D- nanosheets. Moreover, the Ag- NPs were also shown to favor the growth of high-quality 2H-MoS2 phase. Our preliminary results show that the light absorption of these novel Ag-NPs/MoS2 composite films can be enhanced over the entire visible spectrum, leading thereby to an improvement of their specific detectivity (D*) by as high as 516%. This work paves the way towards to design and develop highly responsive optoelectronic devices based on the optimized combination of metal-NPs and 2D-MoS2 nanostructures.
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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) | 0.001 | 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".