Ultralow switching voltage slope based on two-dimensional materials for integrated memory and neuromorphic applications. (March 2020)
- Record Type:
- Journal Article
- Title:
- Ultralow switching voltage slope based on two-dimensional materials for integrated memory and neuromorphic applications. (March 2020)
- Main Title:
- Ultralow switching voltage slope based on two-dimensional materials for integrated memory and neuromorphic applications
- Authors:
- Sun, Linfeng
Hwang, Genuwoo
Choi, Wooseon
Han, Gyeongtak
Zhang, Yishu
Jiang, Jinbao
Zheng, Shoujun
Watanabe, Kenji
Taniguchi, Takashi
Zhao, Mali
Zhao, Rong
Kim, Young-Min
Yang, Heejun - Abstract:
- Abstract: To realize ultrafast and energy-efficient electronic devices, reducing the switching voltage slope for ON and OFF states that scales the supply voltage and device dimensions is critical. Novel device architectures based on two-dimensional (2D) materials have overcome the fundamental thermionic limit of the switching slope (60 mV/dec); however, a versatile switching device required for highly integrated memory and neuromorphic applications has not been achieved with such exceptional switching slope characteristics. Here, we demonstrate a switching voltage slope down to 0.62 mV/dec in a threshold switching device based on a vertical heterojunction of silver/hexagonal boron nitride (h-BN)/graphene. The sub-1 mV/dec switching slope for the first time, maintaining a high ON/OFF ratio (up to 10 10 ), originates from the unique coupling between the migrated silver atoms and the chemically-inert graphene electrode through the 2D insulating h-BN. Moreover, our original switching device enables the evolution from a conventional volatile (threshold switching) to non-volatile memristive state by adequate voltage spikes, which is ideal for selector applications in highly integrated crossbar array architecture and in a novel synaptic device for neuromorphic computing. Graphical abstract: Ultralow (down to sub-1 mV/dec) switching voltage slopes maintaining extraordinary ON/OFF ratios beyond 10 10 could be realized by using a van der Waals heterostructure, which provides an idealAbstract: To realize ultrafast and energy-efficient electronic devices, reducing the switching voltage slope for ON and OFF states that scales the supply voltage and device dimensions is critical. Novel device architectures based on two-dimensional (2D) materials have overcome the fundamental thermionic limit of the switching slope (60 mV/dec); however, a versatile switching device required for highly integrated memory and neuromorphic applications has not been achieved with such exceptional switching slope characteristics. Here, we demonstrate a switching voltage slope down to 0.62 mV/dec in a threshold switching device based on a vertical heterojunction of silver/hexagonal boron nitride (h-BN)/graphene. The sub-1 mV/dec switching slope for the first time, maintaining a high ON/OFF ratio (up to 10 10 ), originates from the unique coupling between the migrated silver atoms and the chemically-inert graphene electrode through the 2D insulating h-BN. Moreover, our original switching device enables the evolution from a conventional volatile (threshold switching) to non-volatile memristive state by adequate voltage spikes, which is ideal for selector applications in highly integrated crossbar array architecture and in a novel synaptic device for neuromorphic computing. Graphical abstract: Ultralow (down to sub-1 mV/dec) switching voltage slopes maintaining extraordinary ON/OFF ratios beyond 10 10 could be realized by using a van der Waals heterostructure, which provides an ideal component for crossbar array architecture and novel synaptic devices for neuromorphic computing. Image 1 Highlights: A switching device based on a vertical heterojunction was realized with sub-1 mV/dec switching voltage slope. The resistance switching ratio of our tunable memory cell reaches up to 10 11 . Scanning transmission electron microscopy reveals a unique switching mechanism of our device. The reliable memory switching transitions from volatile to non-volatile memory emulates biological synaptic operations. … (more)
- Is Part Of:
- Nano energy. Volume 69(2020)
- Journal:
- Nano energy
- Issue:
- Volume 69(2020)
- Issue Display:
- Volume 69, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 69
- Issue:
- 2020
- Issue Sort Value:
- 2020-0069-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-03
- Subjects:
- Two-dimensional materials -- Graphene transistor -- Neuromorphic devices -- Memory device -- Selector
Nanoscience -- Periodicals
Nanotechnology -- Periodicals
Nanostructured materials -- Periodicals
Power resources -- Technological innovations -- Periodicals
Nanoscience
Nanostructured materials
Nanotechnology
Power resources -- Technological innovations
Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/22112855 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.nanoen.2020.104472 ↗
- Languages:
- English
- ISSNs:
- 2211-2855
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
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