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: | , , , , , , |
---|---|
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 |
_version_ | 1784890330706870272 |
---|---|
author | Halter, Mattia Bégon-Lours, Laura Sousa, Marilyne Popoff, Youri Drechsler, Ute Bragaglia, Valeria Offrein, Bert Jan |
author_facet | Halter, Mattia Bégon-Lours, Laura Sousa, Marilyne Popoff, Youri Drechsler, Ute Bragaglia, Valeria Offrein, Bert Jan |
author_sort | Halter, Mattia |
collection | PubMed |
description | 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-sized artificial synaptic weights exploiting a combination of a ferroelectric space charge effect and oxidation state modulation in the oxide channel of a ferroelectric field effect transistor. They lead to a quasi-continuous resistance tuning of the synapse by a factor of [Formula: see text] and a fine-grained weight update of more than [Formula: see text] resistance values. We leverage a fast, saturating ferroelectric effect and a slow, ionic drift and diffusion process to engineer a multi-timescale artificial synapse. Our device demonstrates an endurance of more than [Formula: see text] cycles, a ferroelectric retention of more than [Formula: see text] years, and various types of volatility behavior on distinct timescales, making it well suited for neuromorphic and cognitive computing. |
format | Online Article Text |
id | pubmed-9936949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99369492023-02-21 A multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide Halter, Mattia Bégon-Lours, Laura Sousa, Marilyne Popoff, Youri Drechsler, Ute Bragaglia, Valeria Offrein, Bert Jan Commun Mater Article 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-sized artificial synaptic weights exploiting a combination of a ferroelectric space charge effect and oxidation state modulation in the oxide channel of a ferroelectric field effect transistor. They lead to a quasi-continuous resistance tuning of the synapse by a factor of [Formula: see text] and a fine-grained weight update of more than [Formula: see text] resistance values. We leverage a fast, saturating ferroelectric effect and a slow, ionic drift and diffusion process to engineer a multi-timescale artificial synapse. Our device demonstrates an endurance of more than [Formula: see text] cycles, a ferroelectric retention of more than [Formula: see text] years, and various types of volatility behavior on distinct timescales, making it well suited for neuromorphic and cognitive computing. Nature Publishing Group UK 2023-02-17 2023 /pmc/articles/PMC9936949/ /pubmed/36843629 http://dx.doi.org/10.1038/s43246-023-00342-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Halter, Mattia Bégon-Lours, Laura Sousa, Marilyne Popoff, Youri Drechsler, Ute Bragaglia, Valeria Offrein, Bert Jan A multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide |
title | A multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide |
title_full | A multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide |
title_fullStr | A multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide |
title_full_unstemmed | A multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide |
title_short | A multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide |
title_sort | multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide |
topic | Article |
url | 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 |
work_keys_str_mv | AT haltermattia amultitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT begonlourslaura amultitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT sousamarilyne amultitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT popoffyouri amultitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT drechslerute amultitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT bragagliavaleria amultitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT offreinbertjan amultitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT haltermattia multitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT begonlourslaura multitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT sousamarilyne multitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT popoffyouri multitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT drechslerute multitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT bragagliavaleria multitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide AT offreinbertjan multitimescalesynapticweightbasedonferroelectrichafniumzirconiumoxide |