A multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide
Brain-inspired neuromorphic computing is a key technology for processing an ever-growing amount of data. Here, an artificial synapse with dual resistance modulation mechanisms is demonstrated, achieving a dynamic range of 60, an endurance exceeding 1010 cycles, and more than 10 years of retention.
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-02-01
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| Series: | Communications Materials |
| Online Access: | https://doi.org/10.1038/s43246-023-00342-x |
| _version_ | 1827983270972751872 |
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| author | Mattia Halter Laura Bégon-Lours Marilyne Sousa Youri Popoff Ute Drechsler Valeria Bragaglia Bert Jan Offrein |
| author_facet | Mattia Halter Laura Bégon-Lours Marilyne Sousa Youri Popoff Ute Drechsler Valeria Bragaglia Bert Jan Offrein |
| author_sort | Mattia Halter |
| collection | DOAJ |
| description | Brain-inspired neuromorphic computing is a key technology for processing an ever-growing amount of data. Here, an artificial synapse with dual resistance modulation mechanisms is demonstrated, achieving a dynamic range of 60, an endurance exceeding 1010 cycles, and more than 10 years of retention. |
| first_indexed | 2024-04-09T22:46:04Z |
| format | Article |
| id | doaj.art-8f4acd7863994ad7a59123d6dd57de55 |
| institution | Directory Open Access Journal |
| issn | 2662-4443 |
| language | English |
| last_indexed | 2024-04-09T22:46:04Z |
| publishDate | 2023-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Materials |
| spelling | doaj.art-8f4acd7863994ad7a59123d6dd57de552023-03-22T11:52:51ZengNature PortfolioCommunications Materials2662-44432023-02-01411810.1038/s43246-023-00342-xA multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxideMattia Halter0Laura Bégon-Lours1Marilyne Sousa2Youri Popoff3Ute Drechsler4Valeria Bragaglia5Bert Jan Offrein6IBM Research Europe - Zurich Research LaboratoryIBM Research Europe - Zurich Research LaboratoryIBM Research Europe - Zurich Research LaboratoryIBM Research Europe - Zurich Research LaboratoryIBM Research Europe - Zurich Research LaboratoryIBM Research Europe - Zurich Research LaboratoryIBM Research Europe - Zurich Research LaboratoryBrain-inspired neuromorphic computing is a key technology for processing an ever-growing amount of data. Here, an artificial synapse with dual resistance modulation mechanisms is demonstrated, achieving a dynamic range of 60, an endurance exceeding 1010 cycles, and more than 10 years of retention.https://doi.org/10.1038/s43246-023-00342-x |
| spellingShingle | Mattia Halter Laura Bégon-Lours Marilyne Sousa Youri Popoff Ute Drechsler Valeria Bragaglia Bert Jan Offrein A multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide Communications Materials |
| 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 |
| url | https://doi.org/10.1038/s43246-023-00342-x |
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