Data · dataset · 2026
Manuscript
Listed in NYCU Dataverse
The growing demand for energy-efficient computing has intensified interest in highly scalable device technologies such as complementary field-effect transistors (CFETs).
Description
In this work, we investigate Scurve engineering for a unique ferroelectric-on-top (FE-o-T) negative-capacitance (NC) CFET through calibrated numerical simulations to assess its potential for ultra-low-power computing and supply-voltage scaling. Our results reveal that proper design of the CFET-to-ferroelectric aspect ratio and ferroelectric thickness is critical for capacitance matching and internal voltage amplification.
By employing an aspect ratio of 8 with a ferroelectric thickness of 6 nm, the proposed hysteresis-free FE-o-T NC-CFET achieves a room-temperature subthreshold swing of ~30 mV/dec, a ~55% reduction in supply voltage compared with the baseline CFET, and effectively suppressed short-channel effects including drain induced barrier lowering and off current. The presented design insights may facilitate the development of energy-efficient logic technologies for future computing.
Links
Where it is published
- Dataverse dataset page dataverse.lib.nycu.edu.tw/dataset.xhtml?persistentId=doi%3A10.57770%2FROIRRD ↗
landing page · from dataverse lib nycu edu tw
- DOI doi.org/10.57770/roirrd ↗
DOI / persistent id · from dataverse lib nycu edu tw
Catalogue records · 1
- Dataverse API dataverse.lib.nycu.edu.tw/api/datasets/:persistentId/?persistentId=doi%3A10.57770%2FROIR… ↗
metadata API · from dataverse lib nycu edu tw
Topics
- Stated by source
- Engineering
- From keywords
- Engineering
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NYCU Dataverse | doi:10.57770/ROIRRD | 16 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:engineering | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | /subjects |
| created_date | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | |
| description | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | /description |
| publication_date | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | |
| title | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | /name |
| updated_date | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | |
| version_label | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 |