微流控忆阻振荡器作为神经形态计算的通用逻辑门。

IF 2.8 3区 化学 Q3 CHEMISTRY, PHYSICAL
Soft Matter Pub Date : 2025-08-04 DOI:10.1039/D5SM00601E
Nex C. X. Stuhlmüller, René van Roij and Marjolein Dijkstra
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引用次数: 0

摘要

填充电解质的锥形微流体通道表现出挥发性记忆行为,为节能、神经形态计算提供了一个有前途的平台。在这里,我们将这些离子电子通道的理论模型集成为非线性shinriki启发振荡器中的附加非线性元素,并在模拟中证明它们在很宽的频率范围内表现出交替的混沌和非混沌动力学。利用这一特性,我们通过耦合三个“Memriki”振荡器来构建异与门和NAND门,并通过NAND门的组合进一步实现全套标准逻辑门。我们的研究结果为离子电子计算建立了一个新的范例,并为微流体和生物启发系统的可扩展、低功耗逻辑操作开辟了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Microfluidic memristive oscillators as universal logic gates for neuromorphic computing

Microfluidic memristive oscillators as universal logic gates for neuromorphic computing

Conical microfluidic channels filled with electrolytes exhibit volatile memristive behavior, offering a promising platform for energy-efficient, neuromorphic computing. Here, we integrate theoretical models of these iontronic channels as additional nonlinear elements in nonlinear Shinriki-inspired oscillators and demonstrate in simulations that they exhibit alternating chaotic and non-chaotic dynamics across a broad frequency range. Exploiting this behavior, we construct XOR and NAND gates by coupling three “Memriki” oscillators, and we further realize the full set of standard logic gates through combinations of NAND gates. Our results establish a new paradigm for iontronic computing and open avenues for scalable, low-power logical operations in microfluidic and bio-inspired systems.

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来源期刊
Soft Matter
Soft Matter 工程技术-材料科学:综合
CiteScore
6.00
自引率
5.90%
发文量
891
审稿时长
1.9 months
期刊介绍: Soft Matter is an international journal published by the Royal Society of Chemistry using Engineering-Materials Science: A Synthesis as its research focus. It publishes original research articles, review articles, and synthesis articles related to this field, reporting the latest discoveries in the relevant theoretical, practical, and applied disciplines in a timely manner, and aims to promote the rapid exchange of scientific information in this subject area. The journal is an open access journal. The journal is an open access journal and has not been placed on the alert list in the last three years.
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