Litcius/Paper detail

Molecular template growth of organic heterojunctions to tailor visual neuroplasticity for high performance phototransistors with ultralow energy consumption

Ender Ercan, Chih‐Chien Hung, Guan‐Syuan Li, Yun‐Fang Yang, Yan‐Cheng Lin, Wen‐Chang Chen

2023Nanoscale Horizons16 citationsDOI

Abstract

-6P and DNTT. The best performing heterojunction exhibits visual synaptic functionalities, including an extremely high pair-pulse facilitation index of ∼206%, ultralow energy consumption of 0.54 fJ, and zero-gate operation, under ultrashort pulse light stimulation to mimic human-like sensing, computing, and memory functions. An array of heterojunction photosynapses possess a high degree of visual pattern recognition and learning, to mimic the neuroplasticity of human brain activities through a rehearsal learning process. This study provides a guide to the design of molecular heterojunctions for tailoring high-performance photonic memory and synapses for neuromorphic computing and artificial intelligence systems.

Topics & Concepts

HeterojunctionNeuroplasticityMaterials scienceNanotechnologyNeuroscienceOptoelectronicsBiologyAdvanced Memory and Neural ComputingTransition Metal Oxide NanomaterialsCCD and CMOS Imaging Sensors