Assessing the Role of a Semiconductor’s Anisotropic Permittivity in Hafnium Disulfide Monolayer Field-Effect Transistors
Bibliographic record
Abstract
2-D semiconductors show great promise to serve as channel materials in next-generation field-effect transistors (FETs). The permittivity of many 2-D semiconductors is anisotropic, though many recent simulation works studying 2-D FETs have treated these materials as though they have isotropic permittivities. Because there have been no works that investigate the role of each element of a semiconductor's anisotropic permittivity on a device's performance, the impact that this isotropic approximation has on a simulation's accuracy is unknown. Furthermore, the impact of a semiconductor's anisotropic permittivity on a device's performance cannot be explained using existing theory. In this simulation study, we investigate, for the first time, the impact of a semiconductor's anisotropic permittivity on the performance of FETs. Our main findings are that the isotropic approximation becomes inaccurate as the channel lengths of FETs are scaled down and that short-channel effects become less significant when the semiconductor's in-plane permittivity decreases or its out-of-plane permittivity increases. We also find that the capacitance of the semiconductor in the out-of-plane direction (i.e., the capacitance associated with the out-of-plane permittivity) more significantly influences a device's gate capacitance when equivalent oxide thickness (EOT) decreases. Therefore, EOT alone cannot be used to assess total gate control in aggressively scaled 2-D devices.
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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 | 0.000 | 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) | 0.000 | 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 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".