Flexible high-performance graphene hybrid photodetectors functionalized with gold nanostars and perovskites

Author:

Lee Yoon Ho,Park Seungyoung,Won Yousang,Mun JunghoORCID,Ha Jae Hwan,Lee Jeong Hun,Lee Sang Hyuk,Park Jongmin,Yeom Jeonghee,Rho JunsukORCID,Ko HyunhyubORCID,Oh Joon HakORCID

Abstract

AbstractHybrid materials in optoelectronic devices can provide synergistic effects that complementarily enhance the properties of each component. Here, flexible high-performance graphene hybrid photodetectors (PDs) are developed by introducing gold nanostars (GNSs) and perovskites for strong light trapping with hot electron transfer and efficient light harvesting characteristics, respectively. While pristine graphene PDs do not exhibit discernible photodetection properties due to the very low photon absorption and ultrafast charge carrier recombination, graphene PDs functionalized with GNSs and a densely covered perovskite layer exhibit outstanding photoresponsive properties with a photoresponsivity (R) of 5.90 × 104 A W−1 and a specific detectivity of 1.31 × 1013 Jones, the highest values among those reported for perovskite-functionalized graphene PDs thus far. Moreover, we fabricated a flexible 10 × 10 PD array that shows well-resolved spatiotemporal mapping of light signals with excellent operational and mechanical stabilities at a bending radius down to 3 mm and in repeated bending tests for over 1000 cycles. Comprehensive analyses using finite-difference time-domain (FDTD) theoretical calculations, scanning near-field optical microscopy, and photoluminescence mapping reveal the effective light trapping effect of GNSs and the charge carrier transfer between the perovskite and graphene. This work provides a new design platform for flexible and high-performance photodetection systems.

Funder

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

Condensed Matter Physics,General Materials Science,Modelling and Simulation,Condensed Matter Physics,General Materials Science,Modelling and Simulation

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