Using Anisotropic Insulators to Engineer the Electrostatics of Conventional and Tunnel Field-Effect Transistors
Bibliographic record
Abstract
Materials scientists have developed a wide variety of anisotropic insulators that could offer avenues to separately manipulate lateral and perpendicular electric fields if implemented as the gate insulators or spacers in field-effect transistors (FETs). However, there have been no works that have studied how the electrostatics of an FET can be engineered by using anisotropic insulators. We address this gap in knowledge by simulating metal–oxide–semiconductor FETs (MOSFETs) and tunnel FETs (TFETs) while separately varying the in-plane and out-of-plane permittivities of their insulators. Our results show that MOSFETs should have gate insulators and spacers with small in-plane and large out-of-plane permittivities to maximize their performance, and we demonstrate that an FET with a single anisotropic insulator that covers both the gate dielectric and spacers can outperform a similar structure that uses hafnium dioxide for the gate dielectric and air for the spacers. We also demonstrate that anisotropic gate insulators can greatly improve the subthreshold swing and ON-currents of TFETs, and we introduce a new type of heterogate dielectric for TFETs by manipulating the gate insulator’s in-plane permittivity. We anticipate that the results of this study will motivate experimental research toward developing FETs with anisotropic insulators.
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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".