Sensing–Storage–Computing Integrated Devices Based on Carbon Nanomaterials

Abstract

Novel neuromorphic devices are the key foundation for building energy-efficient neuromorphic computing systems. High-performance neuromorphic optoelectronic sensors with ultra-high responsivity, detectivity and signal-to-noise ratios can simulate the functions of the human retina and have the characteristics of integrating optical sensing, information storage, and logical computing, while they have been also considered as important candidates for vision systems, which can solve the problems of phase difference, inflexibility and low integration under extremely dim conditions. Carbon nanomaterials provide a new strategy for the design and construction of neuromorphic vision sensors due to their excellent carrier mobility, good flexibility, and diverse conductive properties. This chapter will mainly introduce the research progress, main advantages and challenges of sensing–storage–computing integrated devices based on carbon nanomaterials towards novel neuromorphic vision systems and look forward to their future development.