Litcius/Paper detail

Tunable synaptic behaviors of solution-processed InGaO films for artificial visual systems

Pengsheng Li, Honglin Song, Zixu Sa, Fengjing Liu, Mingxu Wang, Guangcan Wang, Junchen Wan, Zeqi Zang, Jie Jiang, Zaixing Yang

2024Materials Horizons13 citationsDOI

Abstract

ratio from 45.24% to 53.24%, resulting in a high image clarity and non-volatile artificial visual memory. Furthermore, a three-layer artificial vision network is constructed to evaluate the image recognition capability, exhibiting an accuracy of up to 91.32%. All results promise low-cost and easy-to-handle amorphous InGaO thin films for future visual information processing and image recognition.

Topics & Concepts

Materials scienceNanotechnologyOptoelectronicsAdvanced Memory and Neural ComputingCCD and CMOS Imaging SensorsNeural dynamics and brain function