- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2041-1723
- Extent
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Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Probabilistic computing using Cu0.1Te0.9/HfO2/Pt diffusive memristors ; volume:13 ; number:1 ; day:30 ; month:9 ; year:2022 ; pages:1-8 ; date:12.2022
Nature Communications ; 13, Heft 1 (30.9.2022), 1-8, 12.2022
- Classification
-
Elektrotechnik, Elektronik
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-022-33455-x
- URN
-
urn:nbn:de:101:1-2022121809275560054669
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:37 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Woo, Kyung Seok
- Kim, Jaehyun
- Han, Janguk
- Kim, Woohyun
- Jang, Yoon Ho
- Hwang, Cheol Seong
- SpringerLink (Online service)
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Probabilistic metaplasticity for continual learning with memristors in spiking networks
Lithium ion trapping mechanism of SiO2 in LiCoO2 based memristors
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Unveiling the relaxation dynamics of $Ag/HfO_2}$ based diffusive memristors for use in neuromorphic computing
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Probabilistic metaplasticity for continual learning with memristors in spiking networks
Lithium ion trapping mechanism of SiO2 in LiCoO2 based memristors
Effect of the Threshold Kinetics on the Filament Relaxation Behavior of Ag-Based Diffusive Memristors
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