DOI: https://doi.org/10.29363/nanoge.neuronics.2024.032
Publication date: 18th December 2023
Next-generation optoelectronics aims to achieve the transition to smart wearable and flexible devices that can communicate with each other and perform neuromorphic computing at the edge. These devices should be able to carry out their regular tasks with the help of energy-efficient in-memory calculations. In this work, we fabricate optoelectronic memristors based on halide-perovskite microwires. The CsPbBr3 halide-perovskite microwires are fabricated on a flexible polymer substrate and integrated with a thin film electrode made of single-walled carbon nanotubes in a lateral geometry. By applying hybrid optoelectrical stimuli, we have shown that our device can perform regular photodetection functions complemented by synaptic functionality. Importantly, we have demonstrated that our device exhibits frequency-dependent bidirectional modification of synaptic weight with a sliding threshold similar to biologically plausible Bienenstock-Cooper-Munro learning. We explain this complex behavior by competing capacitive and inductive branches of equivalent electrical circuit. Our work unveils the opportunity for the development of hybrid organic-inorganic artificial visual systems based on halide-perovskite single-crystals.
The authors acknowledge the ITMO-MIPT-Skoltech Clover Program
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