HfO2/TiO2/HfO2 tri-layer high-K gate oxide based MoS2 negative capacitance FET with steep subthreshold swing
Bibliographic record
Abstract
Two-dimensional (2D) materials have gained huge attention due to their ultimate thinness that can help dominate the short channel effect caused by transistor miniaturization. Molybdenum disulphide (MoS2) is one of the most promising 2D materials that has an extremely thin body, facilitates aggressive scaling, and has a high intrinsic bandgap, which allows it to be utilized fairly for transistor applications. In this work, we report a 2D MoS2 based negative capacitance field effect transistor with a novel HfO2/TiO2/HfO2 tri-layer structure as the high-K gate oxide and lead zirconate titanate, Pb(Zr1-xTix) O3 (PZT), as the ferroelectric in the gate stack. The extensively high Ion/Ioff of 3×1014 (∼six orders higher) and the large transconductance of 1.15 mS/μm (∼25 times higher) are the most spectacular output characteristics of the device, which outperforms all the previous results. The incorporation of a negative capacitance effect exhibits a minimum subthreshold swing of 42.6 mV/dec, which can be realized by introducing 50 nm of a ferroelectric PZT layer over the gate dielectric. Furthermore, a high improvement in the on-state current of ∼177 µA/μm was reported. These results indicate that the proposed device structure provides a new insight into nanoelectronic devices with ultra-low power consumption.
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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".