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

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 nu...

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Bibliographic Details
Published in:Advanced materials (Weinheim) 2020-09, Vol.32 (36), p.n/a
Main Authors: Jang, Houk, Liu, Chengye, Hinton, Henry, Lee, Min‐Hyun, Kim, Haeryong, Seol, Minsu, Shin, Hyeon‐Jin, Park, Seongjun, Ham, Donhee
Format: Article
Language:English
Subjects:
2D materials
crossbar arrays
integrated circuits
neural networks
transition metal dichalcogenides
Online Access:Get full text
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Summary: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.
ISSN:0935-9648
1521-4095
DOI:10.1002/adma.202070275