Low-temperature behaviors of multilayer MoS2 transistors with ohmic and Schottky contacts
Bibliographic record
Abstract
We report the low-temperature characterization of back-gated multilayer molybdenum disulfide (MoS2) thin-film transistors (TFTs) based on mechanically exfoliated natural MoS2 crystals. Although all the tested MoS2 TFTs are fabricated with the same processes and materials, the current-voltage characteristics of MoS2 TFTs between 77 K and 300 K indicate the existence of two distinct transport behaviors in MoS2 TFTs. One group with a negligible Schottky barrier shows temperature-independent large field-effect mobility, whereas the other group with a high Schottky barrier exhibits significantly lower mobility with a large dependence on temperature variation. We have revealed that the temperature dependence originates from the different carrier injection mechanisms at the source-channel junction, where the intrinsic variation of electronic properties of natural MoS2 crystals can strongly influence the Schottky barrier. Given that sample-to-sample variations are commonly observed in MoS2 TFTs, the metal-semiconductor junction of the as-fabricated device is of paramount importance, and so the low-temperature measurement of current-voltage characteristics of a multilayer MoS2 transistor can be a practical means to investigate the contact properties of natural MoS2 TFTs. Our comprehensive study advances the fundamental knowledge of the transport mechanisms particularly through the metal-MoS2 interface, which will be a critical step toward high-performance electronics based on 2D semiconductors.
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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".