Self-powered perovskite photodetector with chocolate-chip-cookie structure
Abstract
Photodetectors (PDs) are optoelectronic components that transform incident light into electrical output and are broadly applied in areas such as biomedical imaging, chemical sensing, light detection, and environmental monitoring.Although traditional PDs that use materials including Si, InGaAs, MoS₂, and ZnO exhibit outstanding sensing performance, their production is expensive and complex.In contrast, perovskite-based PDs offer low-cost processability, bandgap tunability for light selectivity from the UV to IR wavelengths, and comparable detector performance.In addition, they can operate under zero-bias conditions (self-powered mode) via a photodiode configuration.In this study, we report a new hybrid perovskite-based self-powered (zero-bias) light sensor using a mixture of two perovskite materials with different band energies, exhibiting a "chocolate-chip-cookie" structure to achieve energy funnelling from one perovskite (chocolate chip) to another perovskite (cookie).By selecting CsPbBr3 as the chip and Cs0.05FA0.81MA0.14Pb(I0.85Br0.15)3as the cookie, our device behaves like an energy-selective broadband photocurrent amplifier in self-powered mode by enhancing light detection in both the green and UV regimes (532 and 365 nm, respectively) through electric-field redistribution and energy-funnelling mechanisms.For these two wavelengths, the device achieves external quantum efficiencies of 69.39% and 47.38%, spectral responsivities of 0.30 and 0.14 A W -1 , specific detectivities of 5.67 × 10 12 and 2.65 × 10 12 cm Hz 1/2 W -1 , and on/off ratios of 34 and 12, respectively.Furthermore, the charge-transfer mechanism is revealed by relevant characterisations.
Fields of Study & Subjects
Perovskite Materials and Applications
Ga2O3 and related materials
Thermal Radiation and Cooling Technologies
Publication details
- Journal / source
- Light Advanced Manufacturing
- Publisher
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
- Volume
- 7
- Issue
- 3
- Pages
- 1–1
- Publication date
- 1 January 2026