Robustness of Momentum-Indirect Interlayer Excitons in MoS<sub>2</sub>/WSe<sub>2</sub> Heterostructure against Charge Carrier Doping
Bibliographic record
Abstract
Monolayer transition-metal dichalcogenide (TMD) semiconductors exhibit strong excitonic effects and hold promise for optical and optoelectronic applications. Yet, electron doping of TMDs leads to the conversion of neutral excitons into negative trions, which recombine predominantly nonradiatively at room temperature. As a result, the photoluminescence (PL) intensity is quenched. Here we study the optical and electronic properties of a MoS 2 /WSe 2 heterostructure as a function of chemical doping by Cs atoms performed under ultrahigh vacuum conditions. By PL measurements, we identify two interlayer excitons and assign them to the momentum-indirect Q-Γ and K-Γ transitions. The energies of these excitons are in very good agreement with ab initio calculations. We find that the Q-Γ interlayer exciton is robust to the electron doping and is present at room temperature even at a high charge carrier concentration (∼10 13 cm –2 ). Submicrometer angle-resolved photoemission spectroscopy (μ-ARPES) reveals a charge transfer from deposited Cs adatoms to both the upper MoS 2 and the lower WSe 2 monolayers without changing the band alignment. This leads to a small (∼10 meV) energy shift of interlayer excitons. Robustness of the momentum-indirect interlayer exciton to charge doping opens up an opportunity for using TMD heterostructures in light-emitting devices that can work at room temperature at high densities of charge carriers.
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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".