Self‐Adaptive Miniaturized Spectrometer Leveraging Wavelength‐Tunable Organic Photodetectors for High‐Resolution Spectral Sensing

Abstract Miniaturized spectrometers are essential for next‐generation portable and wearable sensing technologies, yet conventional architecture often faces trade‐offs between spectral resolution, sensitivity, and system stability. Here, a versatile strategy is proposed for overcoming these limitations through integration of a nanostructured Fabry‐Pérot (FP) cavity‐modulated organic photodetector (OPD) array and self‐adaptive computational methods. This 8 × 8 FP cavity array, vertically stacked on dedicated OPD pixels, achieves 1.1 mm 2 /pixel compactness while OPD pixels exhibit broadband spectral responses (300–1200 nm). The hybrid detection scheme integrates narrowband/broadband OPD pixels with self‐adaptive algorithms, eliminating manual tuning. Iterative optimization dynamically adjusts parameters in real time, achieving stable high‐fidelity spectral reconstruction at 2.7 nm resolution. The OPDs demonstrate outstanding performance, including a linear dynamic range up to 153 dB, specific detectivity of 2.7 × 10¹ 2 Jones, and response times of τ r / τ f = 15.5 µs/15.8 µs. This fully passive, chip‐scale architecture eliminates bulky optics, simplifies fabrication, and significantly enhances integration potential, enabling a new class of compact spectroscopic tools suitable for real‐time substance identification, hyperspectral imaging, and intelligent analytical systems. By merging organic optoelectronics with adaptive computational spectroscopy, this work establishes a practical and high‐performance pathway toward on‐chip, high‐resolution spectrometers.