Photoresponse of MoSe<sub>2</sub> Transistors: A Fully Numerical Quantum Transport Simulation Study
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Bibliographic record
Abstract
Phototransistors made with two-dimensional transition metal dichalcogenides (TMDs) have shown excellent potential for nanoscale optoelectronic applications. In this work, we perform fully numerical simulations to investigate photoresponse mechanisms in MoSe2 transistors, considering photoconductive and photogating (PG) effects. Our model implements PG by self-consistently solving a trapped charge distribution with electrostatics and transport in the channel. The results are in good agreement with the reported experimental device characteristics and explain the PG effect by quantifying potential barrier lowering and trapped carrier concentration upon illumination. We study the two mechanisms in isolation and reveal the dominance of the PG effect on the photocurrent at high gate voltages. Additionally, we show a trade-off between photoresponsivity and specific detectivity at different gate voltages and find that the gain of the phototransistor decreases with increased optical power density due to the saturation of trapped carriers. Finally, we show that photoresponsivity can be tuned over several orders of magnitude by varying trap-state energy, capture cross sections, total concentration of trap states, and recombination lifetime, all of which can be changed through material optimization. Our work highlights the underlying physics of photoresponse in TMD devices and presents a model which can be used for future device design.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it