Polymeric Memristor Based Artificial Synapses with Ultra‐Wide Operating Temperature

记忆电阻器 神经形态工程学 材料科学 数码产品 有机电子学 纳米技术 X射线光电子能谱 光电子学 计算机科学 电压 人工神经网络 电气工程 人工智能 晶体管 工程类 化学工程
作者
Jiayu Li,Yangzhou Qian,Wen Li,Songcheng Yu,Yunxin Ke,Haowen Qian,Yen‐Hung Lin,Cheng‐Hung Hou,Jing‐Jong Shyue,Jia Zhou,Ye Chen,Jiangping Xu,Jintao Zhu,Mingdong Yi,Wei Huang
出处
期刊:Advanced Materials [Wiley]
卷期号:35 (23) 被引量:37
标识
DOI:10.1002/adma.202209728
摘要

Neuromorphic electronics, being inspired by how the brain works, hold great promise to the successful implementation of smart artificial systems. Among several neuromorphic hardware issues, a robust device functionality under extreme temperature is of particular importance for practical applications. Given that the organic memristors for artificial synapse applications are demonstrated under room temperature, achieving a robust device performance at extremely low or high temperature is still utterly challenging. In this work, the temperature issue is addressed by tuning the functionality of the solution-based organic polymeric memristor. The optimized memristor demonstrates a reliable performance under both the cryogenic and high-temperature environments. The unencapsulated organic polymeric memristor shows a robust memristive response under test temperature ranging from 77 to 573 K. Utilizing X-ray photoelectron spectroscopy (XPS) and time-of-flight secondary-ion mass spectrometry (ToF-SIMS) depth profiling, the device working mechanism is unveiled by comparing the compositional profiles of the fresh and written organic polymeric memristors. A reversible ion migration induced by an applied voltage contributes to the characteristic switching behavior of the memristor. Herein, both the robust memristive response achieved at extreme temperatures and the verified device working mechanism will remarkably accelerate the development of memristors in neuromorphic systems.
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