Numerical Investigations of Nanowire Gate-All-Around Negative Capacitance GaAs/InN Tunnel FET
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Bibliographic record
Abstract
We demonstrated a nanowire gate-all-around (GAA) negative capacitance (NC) tunnel field-effect transistor (TFET) based on the GaAs/InN heterostructure using TCAD simulation. In the gate stacking, we proposed a tri-layer HfO<sub>2</sub>/TiO<sub>2</sub>/HfO<sub>2</sub> as a high-K dielectric and hafnium zirconium oxide (HZO) as a ferroelectric (FE) layer. The proposed GAA-TFET overcomes the thermionic limitation (60 mV/decade) of conventional MOSFETs’ subthreshold swing (SS) thanks to its improved electrostatic control and quantum mechanical tunneling. Simultaneously, the NC state of ferroelectric materials improves TFET performance by exploiting differential amplification of the gate voltage under certain conditions. The most surprising discoveries of this device, which outperforms all previous results, are the very high <inline-formula> <tex-math notation="LaTeX">$I_{ON}/I_{OFF}$ </tex-math></inline-formula> ratio on the order of 10<sup>11</sup> and the enormous on-state current of 135 <inline-formula> <tex-math notation="LaTeX">$\mu \text{A}$ </tex-math></inline-formula>. The incorporation of the NC effect with a 9 nm HZO results in the lowest <i>SS</i> of 20.56 mV/dec (52.38% lower than baseline TFET) and the highest voltage gain of 6.58. Furthermore, the output characteristics revealed a large transconductance (<inline-formula> <tex-math notation="LaTeX">$g_{m}$ </tex-math></inline-formula>) of 7.87 mS (10<sup>3</sup> order higher than the baseline TFET), drain-induced barrier lowering (DIBL) of 9.7 mV, and a threshold voltage of 0.53 V (37.65% lower than baseline TFET), all of which are significant. Thus, all of the results indicate that the proposed device structure may lead to a new route for electronic devices, creating higher speed and lower power consumption.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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