Al1−xScxSbyN1−y: An opportunity for ferroelectric semiconductor field effect transistor

Abstract For the in-memory computation architecture, a ferroelectric semiconductor field-effect transistor (FeSFET) incorporates ferroelectric material into the FET channel to realize logic and memory in a single device. The emerging group III nitride material Al 1− x Sc x N provides an excellent platform to explore FeSFET, as this material has significant electric polarization, ferroelectric switching, and high carrier mobility. However, steps need to be taken to reduce the large band gap of ∼5 eV of Al 1− x Sc x N to improve its transport property for in-memory logic applications. By state-of-the-art first principles analysis, here we predict that alloying a relatively small amount (less than ∼5%) of Sb impurities into Al 1− x Sc x N very effectively reduces the band gap while maintaining excellent ferroelectricity. We show that the co-doped Sb and Sc act cooperatively to give a significant band bowing leading to a small band gap of ∼1.76 eV and a large polarization parameter ∼0.87 C/m 2 , in the quaternary Al 1− x Sc x Sb y N 1− y compounds. The Sb impurity states become more continuous as a result of interactions with Sc and can be used for impurity-mediated transport. Based on the Landau-Khalatnikov model, the Landau parameters and the corresponding ferroelectric hysteresis loops are obtained for the quaternary compounds. These findings indicate that Al 1− x Sc x Sb y N 1− y is an excellent candidate as the channel material of FeSFET.

Authors

Institutions

Publication Details

Journal
Science China Physics Mechanics and Astronomy
Published
2024-09-14
DOI
https://doi.org/10.1007/s11433-024-2466-0
Primary Topic
Acoustic Wave Resonator Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Al1−xScxSbyN1−y: An opportunity for ferroelectric semiconductor field effect transistor

Xianghua Kong, Shujin Guo, Hong Yu Guo
Science China Physics Mechanics and Astronomy
Acoustic Wave Resonator Technologies
article

Al1−xScxSbyN1−y: An opportunity for ferroelectric semiconductor field effect transistor

Xianghua Kong, Shujin Guo, Hong Yu Guo
article en

Abstract

Abstract For the in-memory computation architecture, a ferroelectric semiconductor field-effect transistor (FeSFET) incorporates ferroelectric material into the FET channel to realize logic and memory in a single device. The emerging group III nitride material Al 1− x Sc x N provides an excellent platform to explore FeSFET, as this material has significant electric polarization, ferroelectric switching, and high carrier mobility. However, steps need to be taken to reduce the large band gap of ∼5 eV of Al 1− x Sc x N to improve its transport property for in-memory logic applications. By state-of-the-art first principles analysis, here we predict that alloying a relatively small amount (less than ∼5%) of Sb impurities into Al 1− x Sc x N very effectively reduces the band gap while maintaining excellent ferroelectricity. We show that the co-doped Sb and Sc act cooperatively to give a significant band bowing leading to a small band gap of ∼1.76 eV and a large polarization parameter ∼0.87 C/m 2 , in the quaternary Al 1− x Sc x Sb y N 1− y compounds. The Sb impurity states become more continuous as a result of interactions with Sc and can be used for impurity-mediated transport. Based on the Landau-Khalatnikov model, the Landau parameters and the corresponding ferroelectric hysteresis loops are obtained for the quaternary compounds. These findings indicate that Al 1− x Sc x Sb y N 1− y is an excellent candidate as the channel material of FeSFET.

Science China Physics Mechanics and AstronomyVol. 67(11)
Shenzhen University (CN), McGill University (CA), Sichuan Normal University (CN)
Openalex Percentile: Top 86%
Acoustic Wave Resonator Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.