TY - JOUR
T1 - All-Solid-State Vertical Three-Terminal N-Type Organic Synaptic Devices for Neuromorphic Computing
AU - Xie, Zhichao
AU - Zhuge, Chenyu
AU - Zhao, Yanfei
AU - Xiao, Wei
AU - Fu, Yujun
AU - Yang, Dongliang
AU - Zhang, Shunpeng
AU - Li, Yingtao
AU - Wang, Qi
AU - Wang, Yazhou
AU - Yue, Wan
AU - McCulloch, Iain
AU - He, Deyan
N1 - Generated from Scopus record by KAUST IRTS on 2023-09-21
PY - 2022/5/1
Y1 - 2022/5/1
N2 - Artificial synaptic devices are the basic composition units for neuromorphic computing processors that realize massive parallel computing. However, the n-type organic transistors have failed to achieve good performance as an artificial synaptic device for neuromorphic computing until now. Here, a vertical three-terminal n-type organic artificial synapse (TNOAS) using a lithium ion-based organic dielectric and the n-type donor–acceptor (D–A) conjugated polymer-naphthalene-1,4,5,8-tetracarboxylic-diimide-thiophene-vinyl-thiophene (NDI-gTVT) as the channel is proposed. The TNOAS achieves nonvolatile conductance modulation with high current density operation (≈10 KA cm−2) at low voltage and mimics the basic functions of biological synapses, such as long-term synaptic plasticity and paired-pulse facilitation. The minimum energy consumption of a response event triggered by a single action potential is 6.16 pJ, which can be comparable with p-type counterparts. Moreover, simulation using handwritten digital datasets exhibit a high recognition accuracy of 94%.
AB - Artificial synaptic devices are the basic composition units for neuromorphic computing processors that realize massive parallel computing. However, the n-type organic transistors have failed to achieve good performance as an artificial synaptic device for neuromorphic computing until now. Here, a vertical three-terminal n-type organic artificial synapse (TNOAS) using a lithium ion-based organic dielectric and the n-type donor–acceptor (D–A) conjugated polymer-naphthalene-1,4,5,8-tetracarboxylic-diimide-thiophene-vinyl-thiophene (NDI-gTVT) as the channel is proposed. The TNOAS achieves nonvolatile conductance modulation with high current density operation (≈10 KA cm−2) at low voltage and mimics the basic functions of biological synapses, such as long-term synaptic plasticity and paired-pulse facilitation. The minimum energy consumption of a response event triggered by a single action potential is 6.16 pJ, which can be comparable with p-type counterparts. Moreover, simulation using handwritten digital datasets exhibit a high recognition accuracy of 94%.
UR - https://onlinelibrary.wiley.com/doi/10.1002/adfm.202107314
UR - http://www.scopus.com/inward/record.url?scp=85124898230&partnerID=8YFLogxK
U2 - 10.1002/adfm.202107314
DO - 10.1002/adfm.202107314
M3 - Article
SN - 1057-9257
VL - 32
JO - Advanced Functional Materials
JF - Advanced Functional Materials
IS - 21
ER -
