Silicon- (Si-) based optoelectronic synaptic devices mimicking biological synaptic functionalities may be critical to the development of large-scale integrated optoelectronic artificial neural networks.As a type of important Si materials, Si nanocrystals (NCs) have been successfully employed to fabricate optoelectronic baby moxxie synaptic devices.In this work, organometal halide perovskite with excellent optical asborption is employed to improve the performance of optically stimulated Si-NC-based optoelectronic synaptic devices.The improvement is evidenced by the increased optical sensitivity and decreased electrical energy consumption of the devices.
It is found that the current simulation of biological synaptic plasticity is essentially enabled by photogating, which is based on the heterojuction between Si NCs and organometal halide 133x4 perovskite.By using the synaptic plasticity, we have simulated the well-known biased and correlated random-walk (BCRW) learning.