Enhanced second harmonic generation in hybrid MoS2/Au/MoS2 and MoS2/SiO2/MoS2 Langmuir-Blodgett films
Bibliographic record
Abstract
Transition metal dichalcogenides have gained much attention due to their semiconducting properties, enabling a wealth of applications that integrate these 2D materials. Optical properties such as luminescence and nonlinear optical properties are of particular interest for photonic applications despite the small surface of the individual exfoliated flakes or the inherent difficulty to mechanically transfer flakes grown by CVD onto a given substrate. Herein, we investigate the Langmuir-Blodgett transfer of exfoliated MoS 2 flakes deposited onto glass coverslips. Intercalation of Au and SiO 2 nanoparticles between 2 layers of MoS 2 was conducted using successive LB deposition, enabling the formation of heterostructures films with conductor and dielectric materials. The properties of these films were investigated using Raman spectroscopy and second harmonic generation (SHG) microscopy. The multilayers films are transferred on ∼cm 2 surface area with good coverage but with uncontrolled crystalline orientation of the MoS 2 flakes. Raman enhancement of MoS 2 was evidenced when Au nanoparticles are intercalated between two layers of MoS 2 . Polarized SHG microscopy shows a transition from quadrupolar response of the MoS 2 flake driven by their D 3h symmetry to a dipolar polarized response driven by the Au nanoparticles.
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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".