Highly Uniform All‐Vacuum‐Deposited Inorganic Perovskite Artificial Synapses for Reservoir Computing. (16th November 2020)
- Record Type:
- Journal Article
- Title:
- Highly Uniform All‐Vacuum‐Deposited Inorganic Perovskite Artificial Synapses for Reservoir Computing. (16th November 2020)
- Main Title:
- Highly Uniform All‐Vacuum‐Deposited Inorganic Perovskite Artificial Synapses for Reservoir Computing
- Authors:
- Chen, Li-Wei
Wang, Wei-Chun
Ko, Shao-Han
Chen, Chien-Yu
Hsu, Chih-Ting
Chiao, Fu-Ching
Chen, Tse-Wei
Wu, Kai-Chiang
Lin, Hao-Wu - Abstract:
- Abstract : The development of artificial synapses is inspired by the energy‐efficient recognition ability of the central nervous system of living organisms and is proposed for use as the basic building units of next‐generation neuromorphic computing networks. Herein, the perovskite/MoO3 /Ag synaptic device exhibits very uniform electrical characteristics, a low operation voltage, and linear and repeatable analog switching. Important synaptic functions such as paired‐pulse facilitation (PPF) and short‐ and long‐term potentiation (STP/LTP) are all successfully and stably implemented in the device. The diffusion of Ag + and I − ions is believed to contribute to the synaptic behavior of the device. Furthermore, the uniform and stable volatile characteristics are utilized in a proof‐of‐concept reservoir‐computing‐based simulation program using all the experimental parameters; the results strongly suggest that the neuromorphic computing that utilizes such components can simultaneously reduce the circuitry complexity and increase its recognition accuracy with noisy inputs. The findings of this work promise to significantly facilitate the utilization of highly homogeneous vacuum‐deposited perovskite/metal oxide structures in high‐performance neuromorphic computing systems. Abstract : An all‐vacuum‐deposited perovskite artificial synapse is successfully fabricated. The device exhibits outstanding characteristics, such as high device uniformity and operation stability. SeveralAbstract : The development of artificial synapses is inspired by the energy‐efficient recognition ability of the central nervous system of living organisms and is proposed for use as the basic building units of next‐generation neuromorphic computing networks. Herein, the perovskite/MoO3 /Ag synaptic device exhibits very uniform electrical characteristics, a low operation voltage, and linear and repeatable analog switching. Important synaptic functions such as paired‐pulse facilitation (PPF) and short‐ and long‐term potentiation (STP/LTP) are all successfully and stably implemented in the device. The diffusion of Ag + and I − ions is believed to contribute to the synaptic behavior of the device. Furthermore, the uniform and stable volatile characteristics are utilized in a proof‐of‐concept reservoir‐computing‐based simulation program using all the experimental parameters; the results strongly suggest that the neuromorphic computing that utilizes such components can simultaneously reduce the circuitry complexity and increase its recognition accuracy with noisy inputs. The findings of this work promise to significantly facilitate the utilization of highly homogeneous vacuum‐deposited perovskite/metal oxide structures in high‐performance neuromorphic computing systems. Abstract : An all‐vacuum‐deposited perovskite artificial synapse is successfully fabricated. The device exhibits outstanding characteristics, such as high device uniformity and operation stability. Several synaptic functions are mimicked by a single device. The device parameters are applied to a reservoir computing simulation program, and excellent performance is achieved. … (more)
- Is Part Of:
- Advanced intelligent systems. Volume 3:Number 1(2021)
- Journal:
- Advanced intelligent systems
- Issue:
- Volume 3:Number 1(2021)
- Issue Display:
- Volume 3, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 3
- Issue:
- 1
- Issue Sort Value:
- 2021-0003-0001-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-11-16
- Subjects:
- artificial synapses -- inorganic halide perovskites -- neuromorphic computing -- reservoir computing -- vacuum deposition
Artificial intelligence -- Periodicals
Robotics -- Periodicals
Control theory -- Periodicals
006.3 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
https://onlinelibrary.wiley.com/journal/26404567 ↗ - DOI:
- 10.1002/aisy.202000196 ↗
- Languages:
- English
- ISSNs:
- 2640-4567
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23097.xml