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Flexible Microspectrometers Based on Printed Perovskite Pixels with Graded Bandgaps
Chunming Huang1, Yantao Chen1, Xiao-Lin Wang1
1School of Microelectronics, Fudan University, Shanghai200433, China.
Inkjet-printed perovskite photodetectors enable the large-scale fabrication of flexible miniaturized spectrometers. This technology offers reliable spectral reconstruction for applications in wearable devices and hyperspectral imaging.
Area of Science:
- Materials Science
- Optoelectronics
- Spectroscopy
Background:
- Miniaturized spectrometers are crucial for spectral analysis but face challenges in large-scale production and consistent performance.
- Perovskite materials offer potential for advanced photodetector applications due to their tunable properties.
Purpose of the Study:
- To develop a miniaturized spectrometer with improved large-scale fabricability and performance repeatability.
- To demonstrate a flexible microspectrometer using inkjet-printed perovskite photodetectors with graded bandgaps.
Main Methods:
- Optimized inkjet printing of high-quality perovskite films with controlled bandgaps.
- Fabrication of pixelized graded-bandgap perovskite photodetector arrays.
- Algorithmic reconstruction of spectral data from photodetector output currents.
- Evaluation of spectral reconstruction accuracy and resolution against commercial spectrometers.
Main Results:
- Achieved high-quality perovskite films with minimal defects and large grains.
- Demonstrated perovskite photodetectors with distinct spectral responsivities and cutoff wavelengths.
- Successfully constructed microspectrometers capable of reliable spectral reconstruction with ~10 nm resolution.
- Fabricated flexible microspectrometers on polymer substrates exhibiting excellent mechanical flexibility.
Conclusions:
- Inkjet printing enables scalable and repeatable fabrication of perovskite-based microspectrometers.
- The developed flexible miniaturized spectrometers offer reliable performance and broad applicability.
- This technology is promising for wearable sensors, hyperspectral imaging, and Internet of Things devices.
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