Charge-Mediated Copper-Iodide-Based Artificial Synaptic Device with Ultrahigh Neuromorphic Efficacy
Charge-Mediated Copper-Iodide-Based Artificial Synaptic Device with Ultrahigh Neuromorphic Efficacy
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DOI：
10.1002/pssr.202300191
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发表时间：
2023-08-10
影响因子：
2.8
通讯作者：
Roy，Vellaisamy A. L.
中科院分区：
文献类型：
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作者：
Assi，Dani S. S.;Huang，Hongli;Roy，Vellaisamy A. L.
在人工智能领域，超高性能的神经形态计算在并行执行多个复杂操作方面发挥着重要作用，同时遵循更合理的生物学模型。尽管它们很重要，但开发一种人造突触装置来匹配人类大脑的效率是一项极其复杂的任务，涉及高能量消耗和低并行处理延迟。本文介绍了一种基于碘化铜的简单分子人工突触装置，该装置展示了人类神经网络的核心突触功能。在开发的装置中，异常高的载流子迁移率和介电常数导致具有超高成对脉冲促进指数的神经形态特征的优越效率（>195）。研究结果表明，仿生能力在多个时间尺度（从短期到长期记忆）上对神经网络产生直接影响。这种基于碘化铜的突触装置提供的神经兴奋性的灵活重构使其成为创建先进人工智能系统的有希望的候选者。
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. Herein, a simple molecule, copper‐iodide‐based artificial synaptic device demonstrating core synaptic functions of human neural networks is introduced. Exceptionally high carrier mobility and dielectric constant in the developed device lead to superior efficacies in neuromorphic characteristics with ultrahigh paired‐pusle facilitation index (>195). The results demonstrate biomimetic capabilities that exert a direct influence on neural networks across multiple timescales, ranging from short‐ to long‐term memory. This flexible reconfiguration of neural excitability provided by the copper‐iodide‐based synaptic device positions it as a promising candidate for creating advanced artificial intelligence systems.