Self‐Powered Phototriggered Memristor Array with pW‐Level Computing for Monolithic in‐Sensor Vision
Abstract
ABSTRACT 2D Ruddlesden–Popper (RP) hybrid perovskites are widely used in the field of optoelectronic devices due to their high carrier mobility and absorption coefficient. Herein, BA 2 MAPb 2 Br 7 (BMPB) single crystals were synthesized via the quasi‐static cooling method, with a thorough investigation of the nucleation mechanism and the intrinsic relationship between rectangular and hexagonal morphologies. Remarkably, BMPB exhibits outstanding memristive performance, featuring an ultrahigh on/off ratio (∼10 5 ), ultralow power consumption of ∼82.8 pW, and a long retention time (>22 000 s). Leveraging its inherent ferroelectric polarization and optoelectronic properties, we demonstrate a monolithic 5×5 optoelectronic memristor array that unifies sensing, memory, and computing functions. The array device exhibits self‐powered performance under 410 nm illumination, with responsivity of 0.96 A/W and detectivity of 2.89×10 8 Jones. Through digital logic circuit design and Vivado verification, we successfully implement solar‐tracking time prediction and sunflower growth‐stage monitoring. Critically, this integrated architecture enables hardware‐level in‐sensor computing for real‐time applications. Our work provides valuable insights for next‐generation in‐sensor computing devices, providing a material‐level solution based on 2D RP perovskites for energy‐efficient AI and IoT systems.
Article Details
Authors (6)
Xinglong Zhang
Ming Deng
Yiyun Luo
College of Smart Materials and Future Energy State Key Laboratory of Molecular Engineering of Polymers Fudan University Shanghai P. R. China
Zijin Zhao
College of Smart Materials and Future Energy State Key Laboratory of Molecular Engineering of Polymers Fudan University Shanghai P. R. China
Xiaojun Tan
Xiaosheng Fang