Halide Perovskites for Neuromorphic Computing

Abstract

The next generation of neuromorphic computing, which is related to emulating the neural structure and operation of the human brain, will extend into areas that correspond to human cognition, such as interpretation and autonomous adaptation. Progress in materials and devices is critical to address novel situations and abstraction to automate ordinary human activities. Halide perovskites constitute a family of materials with many superior properties, such as long charge-carrier diffusion length, strong light absorptivity, ambipolar charge transport, ionic conductivity and solution processability. They have been successfully implemented in broad applications such as photovoltaics, light-emitting diodes and photodetectors. Their high mobility renders this class of solution-processed materials appropriate for application in field-effect transistors, whereas their usually present hysteresis, which may originate from ferroelectricity, charge-carrier traps, and migration of ions, has been explored for application in artificial synapses, which require gradual modulation of responses.