Charge‐Mediated Copper‐Iodide‐Based Artificial Synaptic Device with Ultrahigh Neuromorphic Efficacy

Abstract

In the realm of artificial intelligence, ultrahigh‐performance neuromorphic computing plays a significant role in executing multiple complex operations in parallel while adhering to a more biologically plausible model. Despite their importance, developing an artificial synaptic device to match the human brain’s efficiency is an extremely complex task involving high energy consumption and poor parallel processing latency. Here, we introduce a simple molecule, Copper Iodide, based artificial synaptic device demonstrating core synaptic functions of human neural networks. Exceptionally high carrier mobility and dielectric constant in our developed device leads to superior efficacies in neuromorphic characteristics with ultrahigh Paired Pusle Facilitation (PPF) index (>195). Our results demonstrate biomimetic capabilities that exert a direct influence on neural networks across multiple timescales, ranging from short‐term to long‐term memory. This flexible reconfiguration of neural excitability provided by the CuI‐based synaptic device positions it as a promising candidate for creating advanced artificial intelligence systems.This article is protected by copyright. All rights reserved.