Thickness-driven drastic transition in the electrical conductivity of ultrathin MoS2 films grown by pulsed laser deposition
Bibliographic record
Abstract
We report on the pulsed laser deposition of ultrathin MoS2 films and how their electrical conductivity is significantly sensitive to thickness variation. It is shown that the thickness of MoS2 ultrathin films can be fairly controlled over the (1.3–12.6) nm range by simply adjusting the number of incident laser ablation pulses (NLP). Noteworthy, the electrical conductivity of the MoS2 ultrathin films was found to change by more than 6 orders of magnitude, abruptly switching from semiconducting to conductive behavior, upon increasing the thickness in the nm range. Raman analyses revealed that our ultrathin films comprise both 2H and 1T phases with a clear tendency for the metallic 1T phase to increase at the expense of its 2H phase counterpart, as the film thickness is increased from 1.3 to ∼13 nm. Concomitantly, their density of defects also increases with N. Our results highlight the significant structural and electrical changes that occur in MoS2 ultrathin films as their thickness is barely increased from a few to only several layers. A direct relationship between the conductivity of the pulsed laser deposition (PLD)-MoS2 ultrathin films and their structural characteristics (both 1T-MoS2 phase content and density of defects) is established. Finally, this work paves the way for the PLD as an effective synthesis route for the controlled growth of hybrid 2H-/1T-MoS2 ultrathin films with the possibility of wafer scaling.
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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".