Electrosynthesis of Ru (II)-Polypyridyl Oligomeric Films on ITO Electrode for Two Terminal Non-Volatile Memory Devices and Neuromorphic Computing

IF 9.1 2区 材料科学 Q1 CHEMISTRY, PHYSICAL Small Methods Pub Date : 2025-01-23 DOI:10.1002/smtd.202401911
Pradeep Sachan, Pritish Sharma, Rajwinder Kaur, Debashree Manna, Shubham Sahay, Prakash Chandra Mondal
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Abstract

Molecular electronics exhibiting resistive-switching memory features hold great promise for the next generation of digital technology. In this work, electrosynthesis of ruthenium polypyridyl nanoscale oligomeric films is demonstrated on an indium tin oxide (ITO) electrode followed by an ITO top contact deposition yielding large-scale (junction area = 0.7 × 0.7 cm2) two terminal molecular junctions. The molecular junctions exhibit non-volatile resistive switching at a relatively lower operational voltage, ±1 V, high ON/OFF electrical current ratio (≈103), low-energy consumption (SET/RESET = 27.94/14400 nJ), good cyclic stability (>300 cycles), and switching speed (SET/RESET = 25 ms/20 ms). A computational study suggests that accessible frontier molecular orbitals of metal-complex to the Fermi level of ITO electrodes facilitate charge transport at a relatively lower bias followed by a filamentformation. An extensive analysis is performed of the performance of binary neural networks exploiting the current-voltage features of the devices as binary synaptic weights and exploring their potential for neuromorphic logic-in-memory implementation of IMPLICATION (IMPLY) operation which can realize universal gates. The comprehensive analysis indicates that the proposed redox-active complex-based memory device may be a promising candidate for high-density data storage, energy-efficient implementation of neuromorphic networks with software-level accuracy, and logic-in-memory implementations.

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ITO电极上Ru (II)-聚吡啶低聚物薄膜的电合成及其神经形态计算。
具有阻性开关记忆特性的分子电子学为下一代数字技术带来了巨大的希望。在这项工作中,在氧化铟锡(ITO)电极上电合成了钌聚吡啶基纳米级低聚物薄膜,然后在ITO顶部接触沉积,产生了大规模(结面积= 0.7 × 0.7 cm2)的两个末端分子结。该分子结在相对较低的工作电压(±1 V)下具有非易失性电阻开关,高开/关电流比(≈103),低能耗(SET/RESET = 27.94/14400 nJ),良好的循环稳定性(>300个周期)和开关速度(SET/RESET = 25 ms/20 ms)。一项计算研究表明,金属络合物在ITO电极费米能级上的可达前沿分子轨道有利于电荷以相对较低的偏置传输,随后形成细丝。对二元神经网络的性能进行了广泛的分析,利用器件的电流-电压特征作为二元突触权值,并探索其在隐含(IMPLY)操作的神经形态内存逻辑实现中的潜力,从而实现通用门。综合分析表明,所提出的基于氧化还原活性复合物的存储器件可能是高密度数据存储、具有软件级精度的神经形态网络的节能实现和内存逻辑实现的有希望的候选者。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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