用于光控内存神经形态计算的金属有机框架单晶体

IF 7.5 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Semyon V. Bachinin, Alexandr Marunchenko, Ivan Matchenya, Nikolai Zhestkij, Vladimir Shirobokov, Ekaterina Gunina, Alexander Novikov, Maria Timofeeva, Svyatoslav A. Povarov, Fengting Li, Valentin A. Milichko
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引用次数: 0

摘要

神经形态架构将计算的极限从传统的数据处理和存储扩展到了高级认知、学习和内存计算,这就对材料提出了限制,要求材料必须运行速度快、能效高、耐久性强。在此,我们报告了基于金属有机框架(MOF)单晶体的内存计算架构。我们证明,具有固有记忆行为(用于数据存储)的 MOF 在光照射下会非线性地改变其电子响应。这导致了三个及更多的电子状态(尖峰),持续时间为 81 毫秒,耐火时间为 1 秒,从而实现了 40 比特 s-1 的光电数据处理。接下来,在一组激光脉冲的作用下,该结构会切换到神经形态状态,从而提供超过 50 次的文字识别,准确率约为 100%。100% 的准确率。因此,在光的驱动下,在 MOF 上同时进行数据存储、处理和神经形态计算,为多功能内存计算架构铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Metal-organic framework single crystal for in-memory neuromorphic computing with a light control

Metal-organic framework single crystal for in-memory neuromorphic computing with a light control

Metal-organic framework single crystal for in-memory neuromorphic computing with a light control
Neuromorphic architectures, expanding the limits of computing from conventional data processing and storage to advanced cognition, learning, and in-memory computing, impose restrictions on materials that should operate fast, energy efficiently, and highly endurant. Here we report on in-memory computing architecture based on metal-organic framework (MOF) single crystal with a light control. We demonstrate that the MOF with inherent memristive behavior (for data storage) changes nonlinearly its electric response when irradiated by light. This leads to three and more electronic states (spikes) with 81 ms duration and 1 s refractory time, allowing to implement 40 bits s−1 optoelectronic data processing. Next, the architecture is switched to the neuromorphic state upon the action of a set of laser pulses, providing the text recognition over 50 times with app. 100% accuracy. Thereby, simultaneous data storage, processing, and neuromorphic computing on MOF, driven by light, pave the way for multifunctional in-memory computing architectures. Neuromorphic architectures require highly enduring active materials that should operate fast and energy efficiently. Here, the authors report on in-memory computing architecture based on a metal-organic framework single crystal, the memristive behavior of which is nonlinearly switched to the neuromorphic state under light.
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来源期刊
Communications Materials
Communications Materials MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
12.10
自引率
1.30%
发文量
85
审稿时长
17 weeks
期刊介绍: Communications Materials, a selective open access journal within Nature Portfolio, is dedicated to publishing top-tier research, reviews, and commentary across all facets of materials science. The journal showcases significant advancements in specialized research areas, encompassing both fundamental and applied studies. Serving as an open access option for materials sciences, Communications Materials applies less stringent criteria for impact and significance compared to Nature-branded journals, including Nature Communications.
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