An Optogenetics‐Inspired Flexible van der Waals Optoelectronic Synapse and its Application to a Convolutional Neural Network (Adv. Mater. 40/2021). Issue 40 (5th October 2021)

• Record Type: Journal Article
• Authors: Seo, Seunghwan; Lee, Je‐Jun; Lee, Ryong‐Gyu; Kim, Tae Hyung; Park, Sangyong; Jung, Sooyoung; Lee, Hyun‐Kyu; Andreev, Maksim; Lee, Kyeong‐Bae; Jung, Kil‐Su; Oh, Seyong; Lee, Ho‐Jun; Kim, Ki Seok; Yeom, Geun Young; Kim, Yong‐Hoon; Park, Jin‐Hong
• Is Part Of: Advanced materials. Volume 33:Issue 40(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-10-05
• Subjects: 2D van der Waals layered materials -- artificial optoelectronic synapses -- brain‐inspired computing -- convolutional neural networks -- flexible artificial synapses -- persistent photoconductivity effect -- rhenium disulfide; Materials -- Periodicals; Chemical vapor deposition -- Periodicals; 620.11
• DOI: 10.1002/adma.202170316
• Languages: English
• ISSNs: 0935-9648

Abstract

Abstract : Optoelectronic Synapses In article number 2102980, a flexible optoelectronic synapse fabricated on 2D van der Waals (vdW) layered rhenium disulfide, which features an inherent photosensitive memory nature derived from the persistent photoconductivity effect, is presented by Yong‐Hoon Kim, Jin‐Hong Park, and co‐workers. After in‐depth analysis including density functional theory calculations on rhenium disulfide, its feasibility for a hardware neural network with learning ability is also demonstrated using a convolutional neural network composed of vdW optoelectronic synapses.