Neuromorphic Computing: A Fully Printed Flexible MoS2 Memristive Artificial Synapse with Femtojoule Switching Energy (Adv. Electron. Mater. 12/2019). (5th December 2019)

• Record Type: Journal Article
• Authors: Feng, Xuewei; Li, Yida; Wang, Lin; Chen, Shuai; Yu, Zhi Gen; Tan, Wee Chong; Macadam, Nasiruddin; Hu, Guohua; Huang, Li; Chen, Li; Gong, Xiao; Chi, Dongzhi; Hasan, Tawfique; Thean, Aaron Voon‐Yew; Zhang, Yong‐Wei; Ang, Kah‐Wee
• Is Part Of: Advanced Electronic Materials. Volume 5:Number 12(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-12-05
• Subjects: Materials -- Electric properties -- Periodicals; Materials science -- Periodicals; Magnetic materials -- Periodicals; Electronic apparatus and appliances -- Periodicals; 537
• DOI: 10.1002/aelm.201970061
• Languages: English
• ISSNs: 2199-160X

Abstract

Abstract : In article number 1900740, Tawfique Hasan, Aaron Thean, Yong‐Wei Zhang, Kah‐Wee Ang, and co‐workers report the demonstration of flexible MoS2 memristive artificial synapses via scalable, low‐temperature aerosol‐jet printing. Fully printed memristors in a cross‐bar structure enable efficient emulation of synaptic plasticity functions with femtojoule energy consumption. This work paves the way toward realizing system‐on‐plastics for brain‐inspired neuromorphic computing.