Cargando…
A multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide
Brain-inspired computing emerged as a forefront technology to harness the growing amount of data generated in an increasingly connected society. The complex dynamics involving short- and long-term memory are key to the undisputed performance of biological neural networks. Here, we report on sub-µm-s...
Autores principales: | Halter, Mattia, Bégon-Lours, Laura, Sousa, Marilyne, Popoff, Youri, Drechsler, Ute, Bragaglia, Valeria, Offrein, Bert Jan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936949/ https://www.ncbi.nlm.nih.gov/pubmed/36843629 http://dx.doi.org/10.1038/s43246-023-00342-x |
Ejemplares similares
-
Electric field-induced crystallization of ferroelectric hafnium zirconium oxide
por: Lederer, Maximilian, et al.
Publicado: (2021) -
Ferroelectricity and Oxide Reliability of Stacked Hafnium–Zirconium Oxide Devices
por: Liao, Ruo-Yin, et al.
Publicado: (2023) -
Hafnium–zirconium oxide interface models with a semiconductor and metal for ferroelectric devices
por: Chae, Kisung, et al.
Publicado: (2021) -
Correction: Hafnium–zirconium oxide interface models with a semiconductor and metal for ferroelectric devices
por: Chae, Kisung, et al.
Publicado: (2021) -
Carbides and Nitrides of Zirconium and Hafnium
por: Ushakov, Sergey V., et al.
Publicado: (2019)