Mesoscopic sliding ferroelectricity enabled photovoltaic random access memory for material-level artificial vision system

Abstract

Intelligent materials change their properties under external stimuli, integrating functionalities at the matter level. Here, Guo et al. report an artificial vision system based on the memory effect produced by sliding ferroelectricity in multiwalled tungsten disulfide nanotubes.