High-performance one-dimensional halide perovskite crossbar memristors and synapses for neuromorphic computing

2024/01/01 by Sujaya Kumar Vishwanath, Benny Febriansyah, Si En Ng +12 · 1 voice · 1 citation
Engineering · Materials Science · #Advanced Memory and Neural Computing #Perovskite Materials and Applications #Conducting polymers and applications

paper · pdf · doi:10.1039/d3mh02055j

openalex publication_date 2024/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/18

Abstract

s) and high endurance (2000 cycles). Finally, we put forth a universal approach to comprehensively map the analog programming window of halide perovskite memristive devices - a critical prerequisite for weighted synaptic connections in artificial neural networks. This consequently facilitates the demonstration of accurate handwritten digit recognition from the MNIST database based on spike-timing-dependent plasticity of halide perovskite memristive synapses.

Citations

• Synaptic electronics: materials, devices and applications

Cited by

• Biomimetic Synapses Based on Halide Perovskites for Neuromorphic Vision Computing: Materials, Devices, and Applications

Discussions

• Discover our 2024 Outstanding Communication award runners-up with their article entitled, ‘High-performance one-dimensional halide perovskite crossbar memristors and synapses for neuromorphic computin [bsky, 2 points, 0 comments]

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