具有神经形态功能的氧化石墨烯-DNA/氧化石墨烯-PDDA 夹层膜。

IF 8 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Jia Hui Bong, Sergey Grebenchuk, Konstantin G. Nikolaev, Celestine P. T Chee, Kou Yang, Siyu Chen, Denis Baranov, Colin R. Woods, Daria V. Andreeva and Kostya S. Novoselov
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引用次数: 0

摘要

聚电解质在密闭空间中的行为与生物体内蛋白质介导的离子传输直接相关。在本文中,我们通过多电解质--多阳离子聚(二烯丙基二甲基氯化铵)(PDDA)和多阴离子双股脱氧核糖核酸(dsDNA)--在封闭的氧化石墨烯(GO)膜中提供的界面来控制氯化锂的传输。聚电解质-GO 界面展示了神经形态功能,并成功应用了纳米通道离子相互作用,产生了离子记忆效应。随着应用脉冲数的相应增加,兴奋和抑制突触后电流不断调整,衰减时间也随之增加。此外,我们还展示了经过训练与未经训练的设备在计算中的短期记忆。由于其制作简单、安全、坚固和稳定,我们预计我们的设备将成为将人工神经网络嵌入神经形态计算硬件阵列的低维构件。此外,将这种装置与传感和执行部件结合起来,形成一个完整的反馈回路,就能生产出具有根据传感数据修改执行方式的学习能力的机器人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Graphene oxide–DNA/graphene oxide–PDDA sandwiched membranes with neuromorphic function†

Graphene oxide–DNA/graphene oxide–PDDA sandwiched membranes with neuromorphic function†

Graphene oxide–DNA/graphene oxide–PDDA sandwiched membranes with neuromorphic function†

The behavior of polyelectrolytes in confined spaces has direct relevance to the protein mediated ion transport in living organisms. In this paper, we govern lithium chloride transport by the interface provided by polyelectrolytes, polycation, poly(diallyldimethylammonium chloride) (PDDA) and, polyanion, double stranded deoxyribonucleic acid (dsDNA), in confined graphene oxide (GO) membranes. Polyelectrolyte–GO interfaces demonstrate neuromorphic functions that were successfully applied with nanochannel ion interactions contributed, resulting in ion memory effects. Excitatory and inhibitory post-synaptic currents were tuned continuously as the number of pulses applied increased accordingly, increasing decay times. Furthermore, we demonstrated the short-term memory of a trained vs untrained device in computation. On account of its simple and safe production along with its robustness and stability, we anticipate our device to be a low dimensional building block for arrays to embed artificial neural networks in hardware for neuromorphic computing. Additionally, incorporating such devices with sensing and actuating parts for a complete feedback loop produces robotics with its own ability to learn by modifying actuation based on sensing data.

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来源期刊
Nanoscale Horizons
Nanoscale Horizons Materials Science-General Materials Science
CiteScore
16.30
自引率
1.00%
发文量
141
期刊介绍: Nanoscale Horizons stands out as a premier journal for publishing exceptionally high-quality and innovative nanoscience and nanotechnology. The emphasis lies on original research that introduces a new concept or a novel perspective (a conceptual advance), prioritizing this over reporting technological improvements. Nevertheless, outstanding articles showcasing truly groundbreaking developments, including record-breaking performance, may also find a place in the journal. Published work must be of substantial general interest to our broad and diverse readership across the nanoscience and nanotechnology community.
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