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Optoelectronic Neural Networks: An Atomically Thin Optoelectronic Machine Vision Processor (Adv. Mater. 36/2020)
Author(s) -
Jang Houk,
Liu Chengye,
Hinton Henry,
Lee MinHyun,
Kim Haeryong,
Seol Minsu,
Shin HyeonJin,
Park Seongjun,
Ham Donhee
Publication year - 2020
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.202070275
Subject(s) - materials science , optoelectronics , artificial neural network , machine vision , core (optical fiber) , nanotechnology , computer science , artificial intelligence , composite material
In article number 2002431, Seongjun Park, Donhee Ham, and co‐workers describe pioneering work on an optoelectronic neural network built out of 2D MoS 2 . 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.