TY - JOUR
T1 - Mechanoplastic Tribotronic Floating-Gate Neuromorphic Transistor
AU - Yang, Xixi
AU - Yu, Jinran
AU - Zhao, Jing
AU - Chen, Youhui
AU - Gao, Guoyun
AU - Wang, Yifei
AU - Sun, Qijun
AU - Wang, Zhong Lin
N1 - Publisher Copyright:
© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
PY - 2020/8/1
Y1 - 2020/8/1
N2 - The emulation of synaptic plasticity to achieve sophisticated cognitive functions and adaptive behaviors is critical to the evolution of neuromorphic computation and artificial intelligence. More feasible plastic strategies (e.g., mechanoplasticity) are urgent to achieve comparable, versatile, and active cognitive complexity in neuromorphic systems. Here, a versatile mechanoplastic artificial synapse based on tribotronic floating-gate MoS2 synaptic transistors is proposed. Mechanical displacement can induce triboelectric potential coupling to the floating-gate synaptic transistor, trigger a postsynaptic current signal, and modulate the synaptic weights, which realizes the synaptic mechanoplasticity in an active and interactive way. Typical synaptic plasticity behaviors including potentiation/inhibition and paired pulse facilitation/depression are successfully imitated. Assistant with the charge trapping by floating gate, the artificial synapse can realize mechanical displacement derived short-term and long-term plasticity simultaneously. A facile artificial neural network is also constructed to demonstrate an adding synaptic weight and neuromorphic logic switching (AND, OR) by mechanoplasticity without building complex complementary metal oxide semiconductor circuits. The proposed mechanoplastic artificial synapse offers a favorable candidate for the construction of mechanical behavior derived neuromorphic devices to overcome the von Neumann bottleneck and perform advanced synaptic behaviors.
AB - The emulation of synaptic plasticity to achieve sophisticated cognitive functions and adaptive behaviors is critical to the evolution of neuromorphic computation and artificial intelligence. More feasible plastic strategies (e.g., mechanoplasticity) are urgent to achieve comparable, versatile, and active cognitive complexity in neuromorphic systems. Here, a versatile mechanoplastic artificial synapse based on tribotronic floating-gate MoS2 synaptic transistors is proposed. Mechanical displacement can induce triboelectric potential coupling to the floating-gate synaptic transistor, trigger a postsynaptic current signal, and modulate the synaptic weights, which realizes the synaptic mechanoplasticity in an active and interactive way. Typical synaptic plasticity behaviors including potentiation/inhibition and paired pulse facilitation/depression are successfully imitated. Assistant with the charge trapping by floating gate, the artificial synapse can realize mechanical displacement derived short-term and long-term plasticity simultaneously. A facile artificial neural network is also constructed to demonstrate an adding synaptic weight and neuromorphic logic switching (AND, OR) by mechanoplasticity without building complex complementary metal oxide semiconductor circuits. The proposed mechanoplastic artificial synapse offers a favorable candidate for the construction of mechanical behavior derived neuromorphic devices to overcome the von Neumann bottleneck and perform advanced synaptic behaviors.
KW - artificial neural networks
KW - artificial synapses
KW - floating-gate transistors
KW - logic switching
KW - mechanoplasticity
KW - triboelectric potential
UR - http://www.scopus.com/inward/record.url?scp=85087293575&partnerID=8YFLogxK
U2 - 10.1002/adfm.202002506
DO - 10.1002/adfm.202002506
M3 - Article
AN - SCOPUS:85087293575
SN - 1616-301X
VL - 30
JO - Advanced Functional Materials
JF - Advanced Functional Materials
IS - 34
M1 - 2002506
ER -