Biomimetic nanocluster photoreceptors for adaptative circular polarization vision

Wei Wen, Guocai Liu, Xiaofang Wei, Haojie Huang, Chong Wang, Danlei Zhu, Jianzhe Sun, Huijuan Yan, Xin Huang, Wenkang Shi, Xiaojuan Dai, Jichen Dong, Lang Jiang, Yunlong Guo, Hanlin Wang () and Yunqi Liu ()
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Wei Wen: Chinese Academy of Sciences
Guocai Liu: Chinese Academy of Sciences
Xiaofang Wei: Chinese Academy of Sciences
Haojie Huang: Chinese Academy of Sciences
Chong Wang: University of Chinese Academy of Sciences
Danlei Zhu: Chinese Academy of Sciences
Jianzhe Sun: Chinese Academy of Sciences
Huijuan Yan: University of Chinese Academy of Sciences
Xin Huang: Chinese Academy of Sciences
Wenkang Shi: Chinese Academy of Sciences
Xiaojuan Dai: Chinese Academy of Sciences
Jichen Dong: Chinese Academy of Sciences
Lang Jiang: Chinese Academy of Sciences
Yunlong Guo: Chinese Academy of Sciences
Hanlin Wang: Chinese Academy of Sciences
Yunqi Liu: Chinese Academy of Sciences

Nature Communications, 2024, vol. 15, issue 1, 1-10

Abstract: Abstract Nanoclusters with atomically precise structures and discrete energy levels are considered as nanoscale semiconductors for artificial intelligence. However, nanocluster electronic engineering and optoelectronic behavior have remained obscure and unexplored. Hence, we create nanocluster photoreceptors inspired by mantis shrimp visual systems to satisfy the needs of compact but multi-task vision hardware and explore the photo-induced electronic transport. Wafer-scale arrayed photoreceptors are constructed by a nanocluster-conjugated molecule heterostructure. Nanoclusters perform as an in-sensor charge reservoir to tune the conductance levels of artificial photoreceptors by a light valve mechanism. A ligand-assisted charge transfer process takes place at nanocluster interface and it features an integration of spectral-dependent visual adaptation and circular polarization recognition. This approach is further employed for developing concisely structured, multi-task, and compact artificial visual systems and provides valuable guidelines for nanocluster neuromorphic devices.

Date: 2024
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DOI: 10.1038/s41467-024-46646-5

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