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
{"title":"用于光控内存神经形态计算的金属有机框架单晶体","authors":"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","doi":"10.1038/s43246-024-00573-6","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":10589,"journal":{"name":"Communications Materials","volume":null,"pages":null},"PeriodicalIF":7.5000,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s43246-024-00573-6.pdf","citationCount":"0","resultStr":"{\"title\":\"Metal-organic framework single crystal for in-memory neuromorphic computing with a light control\",\"authors\":\"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\",\"doi\":\"10.1038/s43246-024-00573-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":10589,\"journal\":{\"name\":\"Communications Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2024-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.nature.com/articles/s43246-024-00573-6.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s43246-024-00573-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications Materials","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43246-024-00573-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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.