Understanding effect of distortions and vacancies in wurtzite AlScN ferroelectric memory materials: Vacancy-induced multiple defect state types and relaxation dependence in transition energy levels
Energy-efficient compact alternatives to fully digital computing strategies could be achieved by implementations of artificial neural networks (ANNs) that borrow analog techniques. In-memory computing based on crossbar device architectures with memristive materials systems that execute, in an analog...
Main Authors: | Qiang Wang, Shao-Xiang Go, Chen Liu, Minghua Li, Yao Zhu, Lunna Li, Tae Hoon Lee, Desmond K. Loke |
---|---|
Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2022-12-01
|
Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/5.0126651 |
Similar Items
-
Evolution of the Ferroelectric Properties of AlScN Film by Electrical Cycling with an Inhomogeneous Field Distribution
by: Kyung Do Kim, et al.
Published: (2023-05-01) -
Role of oxygen vacancies in ferroelectric or resistive switching hafnium oxide
by: Jaewook Lee, et al.
Published: (2023-12-01) -
Bistable carbon-vacancy defects in h-BN
by: Song Li, et al.
Published: (2022-09-01) -
Laser Ultrasound Investigations of AlScN(0001) and AlScN(11-20) Thin Films Prepared by Magnetron Sputter Epitaxy on Sapphire Substrates
by: Elena A. Mayer, et al.
Published: (2022-10-01) -
Charged vacancy defects in monolayer phosphorene
by: Rijal, Biswas, et al.
Published: (2023)