Optoelectronic Neural Networks: An Atomically Thin Optoelectronic Machine Vision Processor (Adv. Mater. 36/2020). Issue 36 (8th September 2020)

• Record Type: Journal Article
• Authors: Jang, Houk; Liu, Chengye; Hinton, Henry; Lee, Min‐Hyun; Kim, Haeryong; Seol, Minsu; Shin, Hyeon‐Jin; Park, Seongjun; Ham, Donhee
• Is Part Of: Advanced materials. Volume 32:Issue 36(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-09-08
• Subjects: 2D materials -- crossbar arrays -- integrated circuits -- neural networks -- transition metal dichalcogenides; Materials -- Periodicals; Chemical vapor deposition -- Periodicals; 620.11
• DOI: 10.1002/adma.202070275
• Languages: English
• ISSNs: 0935-9648

Abstract

Abstract : In article number 2002431, Seongjun Park, Donhee Ham, and co‐workers describe pioneering work on an optoelectronic neural network built out of 2D MoS2 . They highlight its use in a machine vision processor, which mimics two core functions of human vision to recognize optical images of hand‐written numbers.