@article{Xie2026, 
author = {Yujie Xie and Xixiang Zhu and Jinpeng Li and Haomiao Yu and Kai Wang and Zhenmei He and Yukang Lu and Yongchao Xie and Henan Li and Zheng Chen and Hanlin Hu and Haizhe Zhong and Xiaoxian Zhang and Yumeng Shi and Aiwei Tang},
title = {Machine-learning assisted filterless color imaging with donor–acceptor ratio engineered self-driven organic photodetectors},
year = {2026},
journal = {Nano Research},
volume = {19},
number = {3},
pages = {94908382},
keywords = {self-powered, full-color imaging, wavelength sensor, organic photodetectors, distribution of photocurrent ratio},
url = {https://www.sciopen.com/article/10.26599/NR.2026.94908382},
doi = {10.26599/NR.2026.94908382},
abstract = {Miniaturized optical wavelength-sensing devices based on solution-processed organic materials hold great promise for integration into portable and wearable technologies. Yet, the realization of self-powered compact wavelength sensors remains elusive. Here, we report a self-powered wavelength sensor built from broadband photodetectors featuring a meticulously engineered PM6:L8-BO active layer. By systematically varying the donor–acceptor stoichiometries and implementing these blends in nano-scale active layers (50 and 100 nm) that modulate the internal optical field distribution, we tailor the spectral responsivity of individual sensor units, yielding distinct wavelength-dependent optoelectronic signatures. An array of these wavelength-discriminating units enables quantitative discrimination and identification of incident light wavelengths. The device accurately resolves wavelengths from 380 to 850 nm with a resolution better than ~ 1 nm, determined through the photocurrent ratio mapping of the four photodetector elements. As a proof of concept, we demonstrate the device’s capability in wavelength recognition and full-color imaging, underscoring its potential for compact, self-powered, and versatile optical sensing platforms.}
}