Advances in perovskite-based neuromorphic computing devices

Abstract

Neuromorphic computing devices, inspired by the architecture and functionality of the human brain, offer a promising solution to the limitations imposed by the von Neumann bottleneck on contemporary computing systems. Perovskite materials are widely used in the photosensitive layer of neuromorphic computing devices due to their high light absorption coefficient and excellent carrier mobility. Here, we summarise the latest research progress on neural morphology computing devices based on perovskite materials with different structures and summarise different application scenarios. Finally, we discussed the issues that still need to be addressed and looked forward to the future development of neural morphology calculations based on perovskite materials.