Silver-purine MOFs for high-performance multi-terminal neuromorphic memory.

IF 12.2 2区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Subhra Jyoti Panda, Kanha Ram Khator, Priyanka Deswal, Shashwat Nayak, Durgesh Pandey, Suraj K Patel, Suraj Kumar Agrawalla, Dibyajyoti Ghosh, Satyaprasad P Senanayak, Chandra Shekhar Purohit
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Abstract

Neuromorphic and fully analog in-memory computations are promising for handling vast amounts of data with minimal energy consumption. We have synthesized and studied a series of homo-bimetallic silver purine MOFs (1D and 2D) having direct metal-metal bonding. The N7-derivatized purine ligands are designed to form bi-metallic complexes under ambient conditions, extending to a 1D or 2D metal-organic framework. Owing to the unique structural properties, these complexes exhibit voltage-controlled tunable ionic conductivity, thereby allowing us to demonstrate two-terminal non-volatile memory characteristics with a retention time of more than 104 seconds, an ILRS/IHRS ratio of 107, and volatile memory functionality. The atomistic computations corroborate the dominant influence of the organic framework on controlling ionic diffusion through porous channels. Finally, this capability to tune the ionic conduction in these MOFs was utilized to emulate synaptic plasticity, such as long-term potentiation/depression (LTP/LTD) and complex multi-terminal heterosynaptic plasticity. Attributes of spiking neural networks (SNNs) such as spike time-dependent plasticity (STDP) featuring a unique symmetric anti-Hebbian learning with an impressive STDP ratio of 109, and a paired-pulse facilitation (PPF) index of 60 were recorded, which is among the best for MOF-based neuromorphic devices. Overall, our technique of designing novel metal-organic frameworks with facile porous channels for controlled ionic motion could pave the way for a novel class of materials, allowing seamless integration for bio-synaptic electronic devices.

用于高性能多终端神经形态记忆的银嘌呤mof。
神经形态和完全模拟内存计算有望以最小的能量消耗处理大量数据。我们合成并研究了一系列具有直接金属-金属键的均质双金属银嘌呤mof (1D和2D)。n7衍生嘌呤配体被设计成在环境条件下形成双金属配合物,延伸到一维或二维金属有机框架。由于独特的结构特性,这些配合物表现出电压控制可调的离子电导率,从而使我们能够展示双端非易失性记忆特性,其保留时间超过104秒,ILRS/IHRS比为107,并且具有易失性记忆功能。原子计算证实了有机骨架对控制离子通过多孔通道扩散的主要影响。最后,利用这种调节这些mof中离子传导的能力来模拟突触可塑性,如长期增强/抑制(LTP/LTD)和复杂的多端异突触可塑性。针刺神经网络(SNNs)具有独特的对称反hebbian学习特性,其针刺时间依赖性可塑性(STDP)的STDP比率为109,对脉冲促进(PPF)指数为60,是基于mof的神经形态装置中最好的。总的来说,我们设计的具有易于控制离子运动的多孔通道的新型金属有机框架的技术可以为新型材料铺平道路,从而实现生物突触电子设备的无缝集成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Materials Horizons
Materials Horizons CHEMISTRY, MULTIDISCIPLINARY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
18.90
自引率
2.30%
发文量
306
审稿时长
1.3 months
期刊介绍: Materials Horizons is a leading journal in materials science that focuses on publishing exceptionally high-quality and innovative research. The journal prioritizes original research that introduces new concepts or ways of thinking, rather than solely reporting technological advancements. However, groundbreaking articles featuring record-breaking material performance may also be published. To be considered for publication, the work must be of significant interest to our community-spanning readership. Starting from 2021, all articles published in Materials Horizons will be indexed in MEDLINE©. The journal publishes various types of articles, including Communications, Reviews, Opinion pieces, Focus articles, and Comments. It serves as a core journal for researchers from academia, government, and industry across all areas of materials research. Materials Horizons is a Transformative Journal and compliant with Plan S. It has an impact factor of 13.3 and is indexed in MEDLINE.
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