A Bioinspired Ultra Flexible Artificial van der Waals 2D-MoS2 Channel/LiSiOx Solid Electrolyte Synapse Arrays via Laser-Lift Off Process for Wearable Adaptive Neuromorphic Computing

被引:16
作者
Hwang, Yunjeong [1 ]
Park, Byeongjin [1 ,2 ]
Hwang, Seungkwon [1 ,2 ]
Choi, Soo-Won [1 ,2 ]
Kim, Han Seul [3 ]
Kim, Ah Ra [1 ]
Choi, Jin Woo [4 ]
Yoon, Jongwon [1 ]
Kwon, Jung-Dae [1 ]
Kim, Yonghun [1 ]
机构
[1] Korea Inst Mat Sci KIMS, Dept Energy & Elect Mat, Surface Mat Div, 797 Changwondaero, Chang Won 51508, Gyeongnam, South Korea
[2] Pusan Natl Univ, Sch Mat Sci & Engn, 2 Busandaehak Ro 63 Beon Gil, Busan 46241, South Korea
[3] Chungbuk Natl Univ, Dept Adv Mat Engn, 1 Chungdae Ro, Cheongju 28644, South Korea
[4] Kongju Natl Univ, Dept Data Informat & Phys, 56 Gongjudaehak Ro, Gongju 32588, Chungcheongnam, South Korea
基金
新加坡国家研究基金会;
关键词
laser lift-off (LLO) process; neuromorphic edge computing; solid-state electrolyte-gated synaptic transistors; van der Waals layered materials; wearable synaptic devices; TRANSISTORS; TRANSITION; ENERGY; MOSE2; WS2;
D O I
10.1002/smtd.202201719
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Wearable electronic devices with next-generation biocompatible, mechanical, ultraflexible, and portable sensors are a fast-growing technology. Hardware systems enabling artificial neural networks while consuming low power and processing massive in situ personal data are essential for adaptive wearable neuromorphic edging computing. Herein, the development of an ultraflexible artificial-synaptic array device with concrete-mechanical cyclic endurance consisting of a novel heterostructure with an all-solid-state 2D MoS2 channel and LiSiOx (lithium silicate) is demonstrated. Enabled by the sequential fabrication process of all layers, by excluding the transfer process, artificial van der Waals devices combined with the 2D-MoS2 channel and LiSiOx solid electrolyte exhibit excellent neuromorphic synaptic characteristics with a nonlinearity of 0.55 and asymmetry ratio of 0.22. Based on the excellent flexibility of colorless polyimide substrates and thin-layered structures, the fabricated flexible neuromorphic synaptic devices exhibit superior long-term potentiation and long-term depression cyclic endurance performance, even when bent over 700 times or on curved surfaces with a diameter of 10 mm. Thus, a high classification accuracy of 95% is achieved without any noticeable performance degradation in the Modified National Institute of Standards and Technology. These results are promising for the development of personalized wearable artificial neural systems in the future.
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页数:11
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