Reconfigurable Resistive Switching in VO2/La0.7Sr0.3MnO3/Al2O3 (0001) Memristive Devices for Neuromorphic Computing
The coexistence of nonvolatile and volatile switching modes in a single memristive device provides flexibility to emulate both neuronal and synaptic functions in the brain. Furthermore, such a device structure may eliminate the need for additional circuit elements such as transistor-based selectors, enabling low-power consumption and high-density device integration in fully memristive spiking neural networks. In this work, we report dual resistive switching (RS) modes in VO2/La0.7Sr0.3MnO3 (LSMO) bilayer memristive devices. Specifically, the nonvolatile RS is driven by the movement of oxygen vacancies (Vo) at the VO2/LSMO interface and requires a higher biasing voltage, whereas the volatile RS is controlled by the metal-insulator transition (MIT) of VO2 under a lower biasing voltage. The simple device structure is electrically driven between the two RS modes and thus can operate as a one selector-one resistor (1S1R) cell, which is a desirable feature in memristive crossbar arrays to avoid the sneak-path current issue. The RS modes are found to be stable and repeatable and can be reconfigured by exploiting the interfacial and phase transition properties, and thus, they hold great promise for applications in memristive neural networks and neuromorphic computing.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:16 |
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| Enthalten in: |
ACS applied materials & interfaces - 16(2024), 15 vom: 17. Apr., Seite 19103-19111 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Kunwar, Sundar [VerfasserIn] |
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| Links: |
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| Themen: |
Dual resistive switching |
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| Anmerkungen: |
Date Revised 18.04.2024 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1021/acsami.3c19032 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM370682203 |
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| 520 | |a The coexistence of nonvolatile and volatile switching modes in a single memristive device provides flexibility to emulate both neuronal and synaptic functions in the brain. Furthermore, such a device structure may eliminate the need for additional circuit elements such as transistor-based selectors, enabling low-power consumption and high-density device integration in fully memristive spiking neural networks. In this work, we report dual resistive switching (RS) modes in VO2/La0.7Sr0.3MnO3 (LSMO) bilayer memristive devices. Specifically, the nonvolatile RS is driven by the movement of oxygen vacancies (Vo) at the VO2/LSMO interface and requires a higher biasing voltage, whereas the volatile RS is controlled by the metal-insulator transition (MIT) of VO2 under a lower biasing voltage. The simple device structure is electrically driven between the two RS modes and thus can operate as a one selector-one resistor (1S1R) cell, which is a desirable feature in memristive crossbar arrays to avoid the sneak-path current issue. The RS modes are found to be stable and repeatable and can be reconfigured by exploiting the interfacial and phase transition properties, and thus, they hold great promise for applications in memristive neural networks and neuromorphic computing | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a VO2/LSMO heterostructures | |
| 650 | 4 | |a dual resistive switching | |
| 650 | 4 | |a metal-insulator phase transition | |
| 650 | 4 | |a neuromorphic computing | |
| 650 | 4 | |a reconfigurable memristor | |
| 700 | 1 | |a Cucciniello, Nicholas |e verfasserin |4 aut | |
| 700 | 1 | |a Mazza, Alessandro R |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Di |e verfasserin |4 aut | |
| 700 | 1 | |a Santillan, Luis |e verfasserin |4 aut | |
| 700 | 1 | |a Freiman, Ben |e verfasserin |4 aut | |
| 700 | 1 | |a Roy, Pinku |e verfasserin |4 aut | |
| 700 | 1 | |a Jia, Quanxi |e verfasserin |4 aut | |
| 700 | 1 | |a MacManus-Driscoll, Judith L |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Haiyan |e verfasserin |4 aut | |
| 700 | 1 | |a Nie, Wanyi |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Aiping |e verfasserin |4 aut | |
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