Epitaxial Interface‐Driven Photoresponse Enhancement in Monolayer WS <sub>2</sub> –MoS <sub>2</sub> Lateral Heterostructures
Bibliographic record
Abstract
Abstract 2D transition metal dichalcogenides heterostructures are driving advancements in next‐generation optoelectronic technologies. Lateral 2D heterojunctions with atomically seamless interfaces play a vital role in modulating charge separation and carrier dynamics, yet underlying transport mechanisms remain inadequately understood, limiting practical deployment. Here, monolayer WS 2 ‐MoS 2 lateral edge‐epitaxial heterostructures synthesized via chemical vapor deposition (CVD), providing critical insights into heterointerface effects on charge distribution and photoresponse are reported. Photodetector fabricated from this heterostructures exhibit broadband spectral response from ultraviolet to near‐infrared, achieving peak responsivity of 1850 mA W −1 and detectivity of 4.36 × 10 11 Jones under 565 nm illumination. This represents ≈200% enhancement compared to individual monolayer MoS 2 or WS 2 devices, directly demonstrating the synergistic benefits of lateral heterostructure engineering. Spatially resolved surface potential mapping and second‐harmonic generation imaging reveal that enhanced performance originates at the epitaxial interface, confirming the critical role of interfacial electric fields and nonlinear optical effects in charge carrier dynamics. The characterization provides direct experimental evidence linking atomically seamless interface properties to macroscopic device performance enhancements. These findings underscore the significant potential of CVD‐grown WS 2 ‐MoS 2 lateral heterostructures for high‐performance photodetectors and establish interface engineering as a powerful strategy for advancing 2D semiconductor device technologies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".