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Molecular Cocrystal Strategy for Retinamorphic Vision with UV-Vis-NIR Perception and Fast Recognition
Xue-Mei Dong1, Chen Chen1, Yin-Xiang Li1
1State Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), School of Flexible Electronics (Future Technologies), Nanjing Tech University (Nanjing Tech), 30 South Puzhu Road, Nanjing 211816, China.
ACS Nano
|January 31, 2025
Summary
Researchers developed a novel organic nanowire sensor for artificial vision. This neuromorphic vision sensor mimics the retina, offering ultrawide light perception and efficient image recognition for advanced bioretina emulation.
Area of Science:
- Materials Science
- Neuroscience
- Electrical Engineering
Background:
- Neuromorphic vision sensors are crucial for bioretina emulation but face realization challenges.
- Efficient multispectral perception and recognition are key requirements for these sensors.
Purpose of the Study:
- To present a cocrystal strategy for an organic nanowire retinamorphic vision sensor.
- To achieve UV-vis-NIR perception and fast recognition using this novel sensor.
Main Methods:
- Fabrication of an organic nanowire sensor using a cocrystal strategy.
- Leveraging molecular-scale donor-acceptor interpenetration and charge-transfer interfaces.
- Integration with a convolutional neural network for image recognition.
Main Results:
- The sensor demonstrated ultrawide photoperception (350-1050 nm), fast photoresponse (150 ms), high detectivity (8.2 × 10^12 Jones), and high responsivity (15 A W^-1).
- Retina-like photosynaptic plasticity behaviors were observed.
- Achieved 90% accuracy in recognizing colorful images when combined with a convolutional neural network.
Conclusions:
- The cocrystal design is an effective method for creating high-performance nanowire photosynases.
- This approach advances artificial visual systems and bioretina emulation.
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