Intrinsic Performance of Germanane Schottky Barrier Field-Effect Transistors
Bibliographic record
Abstract
Germanane (GeH), a hydrogenated germanium monolayer, is a new family of 2-D semiconductors, exhibiting promising potential for electronic device applications. Here, we investigate GeH Schottky barrier (SB) field-effect transistors (FETs) using atomistic quantum transport simulations. Our simulation results reveal that the ohmic-contact device with zero SB height (Φ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Bn</sub> ) exhibits ~20% lower ON-current than the metal-oxide-semiconductor (MOS) FET counterpart due to the inherent tunnel barrier at the metal-semiconductor junction. We also compare 14-nm-channel GeH and black phosphorus (BP) SBFETs with a finite SB height of Φ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Bn</sub> = 0.22 eV for both devices. Our results show that GeH outperforms BP in the ON-state, but it can suffer from larger leakage current in the OFF-state. We further investigate the effect of barrier height in GeH SBFET by varying Φ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Bn</sub> from 0 eV to a half bandgap (0.78 eV). In general, as barrier height increases, both ON-current and the minimum leakage current are reduced. It is also observed that, with increasing SB height, intrinsic delay increases but the required energy per switching decreases, indicating the trade-off between the device speed and the energy dissipation. Our benchmarking of GeH SBFET against GeH and BP MOSFETs demonstrates that GeH generally outperforms BP in terms of energy-delay product (EDP). By performing careful engineering of SB height along with the device threshold voltage, we show that the minimum EDP of GeH SBFET can be as comparable as that of the MOSFET counterpart, suggesting great potential of GeH SBFETs for future switching device applications.
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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) | 0.001 | 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 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".