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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
Jarrahi, Mona
Huang, Yu
Ozcan, Aydogan
Duan, Xiangfeng
Source :
Nature Communications (2024)
Publication Year :
2023

Abstract

Nonlinear optical processing of ambient natural light is highly desired in computational imaging and sensing applications. A strong optical nonlinear response that can work under weak broadband incoherent light is essential for this purpose. Here we introduce an optoelectronic nonlinear filter array that can address this emerging need. 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 what is achievable in most optical nonlinear materials. For a proof-of-concept demonstration, we fabricated a 10,000-pixel array of optoelectronic neurons, each serving as a nonlinear filter, and experimentally demonstrated an intelligent imaging system that uses the nonlinear response to instantly reduce input glares while retaining the weaker-intensity objects within the field of view of a cellphone camera. This intelligent glare-reduction capability is important for various imaging applications, including autonomous driving, machine vision, and security cameras. Beyond imaging and sensing, this optoelectronic neuron array, with its rapid nonlinear modulation for processing incoherent broadband light, might also find applications in optical computing, where nonlinear activation functions that can work under ambient light conditions are highly sought.<br />Comment: 20 Pages, 5 Figures

Details

Database :
arXiv
Journal :
Nature Communications (2024)
Publication Type :
Report
Accession number :
edsarx.2304.13298
Document Type :
Working Paper
Full Text :
https://doi.org/10.1038/s41467-024-46387-5