Photoferroelectric Perovskite Synapses for Neuromorphic Computing

Abstract

Halide perovskite is an emerging material with excellent optoelectronic properties, and also widely used in neuromorphic devices. Recently, halide perovskite has been redefined as exhibiting extraordinary multifunction, e.g., photoferroelectricity. Herein, this work employs a composite material consisting of halide perovskite and organic ferroelectric material to develop a new photoferroelectric synapse, and the photoferroelectricity and some synaptic plasticity are investigated. By the corresponding test analysis, it is demonstrated that photoelectricity and ferroelectricity can reinforce each other in this photoferroelectric composite material. Versatile synaptic behaviors of the nervous system, including paired‐pulse facilitation/paired‐pulse depression, post‐tetanic potentiation /post‐tetanic depression, and spiking‐rate‐dependent plasticity, are successfully simulated. Particularly, the classical conditioning in Pavlov's dog experiment can be replicated in the photoferroelectric synapse to realize the learning function of the brain, including memory loss and recovery. This work could be conducive to the application of multifunctional perovskite materials in synapse devices and neuromorphic computing.

Sustainable Mixed-Halide Perovskite Resistive Switching Memories Using Self-Assembled Monolayers as the Bottom Contact

“…MHP were successfully exploited as nonvolatile resistive switching memories exhibiting good figure of merit such as a high ON/OFF ratio, 22,23 fast switching speed, 24 and good state retention and cycling endurance. 25 array, optoelectronic 26,27 MHP-based artificial synapses also have been demonstrated opening the path for brain-inspired in-memory computing, 28,29 at low power consumption 30,31 contributing to designing neuromorphic computing architectures 32 for IoT edge sensing devices. 33,34 Apart from synapses implementation, the transient ion dynamics of perovskites enabled by diffusive/volatile memristive devices 35 is shown as a convenient tool for emulating neuron dynamics 36 with the facilitation of theoretical modeling.…”

“…MHP were successfully exploited as nonvolatile resistive switching memories exhibiting good figure of merit such as a high ON/OFF ratio, , fast switching speed, and good state retention and cycling endurance . Going from single memristive devices to multiple devices integrated in a crossbar array, optoelectronic , MHP-based artificial synapses also have been demonstrated opening the path for brain-inspired in-memory computing, , at low power consumption , contributing to designing neuromorphic computing architectures for IoT edge sensing devices. , Apart from synapses implementation, the transient ion dynamics of perovskites enabled by diffusive/volatile memristive devices is shown as a convenient tool for emulating neuron dynamics with the facilitation of theoretical modeling. − Despite the miscellaneous assets of perovskites that involve low-temperature solution processing and compatibility with flexible substrates, achieving durable and reliable nonvolatile memory behavior remains a challenge as MHP memories suffer from relatively poor cycling endurance . An approach to address this issue is to assemble 2D/3D heterostructures, which enhances the RS performance. , …”