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Broadband nonlinear modulation of incoherent light using a transparent optoelectronic neuron array.

Authors :
Zhang, Dehui
Xu, Dong
Li, Yuhang
Luo, Yi
Hu, Jingtian
Zhou, Jingxuan
Zhang, Yucheng
Zhou, Boxuan
Wang, Peiqi
Li, Xurong
Bai, Bijie
Ren, Huaying
Wang, Laiyuan
Zhang, Ao
Jarrahi, Mona
Huang, Yu
Ozcan, Aydogan
Duan, Xiangfeng
Source :
Nature Communications; 3/18/2024, Vol. 15 Issue 1, p1-11, 11p
Publication Year :
2024

Abstract

Nonlinear optical processing of ambient natural light is highly desired for computational imaging and sensing. Strong optical nonlinear response under weak broadband incoherent light is essential for this purpose. By merging 2D transparent phototransistors (TPTs) with liquid crystal (LC) modulators, we create an optoelectronic neuron array that allows self-amplitude modulation of spatially incoherent light, achieving a large nonlinear contrast over a broad spectrum at orders-of-magnitude lower intensity than achievable in most optical nonlinear materials. We fabricated a 10,000-pixel array of optoelectronic neurons, and experimentally demonstrated an intelligent imaging system that instantly attenuates intense glares while retaining the weaker-intensity objects captured by a cellphone camera. This intelligent glare-reduction is important for various imaging applications, including autonomous driving, machine vision, and security cameras. The rapid nonlinear processing of incoherent broadband light might also find applications in optical computing, where nonlinear activation functions for ambient light conditions are highly sought.Merging 2D transparent phototransistors and liquid crystal modulators, authors report an optoelectronic neuron array for self-amplitude modulation of spatially incoherent light, achieving a large nonlinear contrast over a broad spectrum at orders-of-magnitude lower intensity. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
176133046
Full Text :
https://doi.org/10.1038/s41467-024-46387-5