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. © 2024 Elsevier B.V., All rights reserved.

Авторы
Bachinin Semyon V. 1 , Marunchenko Alexandr A. 1 , Matchenya Ivan A. 1 , Zhestkij Nikolaj A. 1 , Shirobokov Vladimir P. 1 , Gunina Ekaterina V. 1 , Novikov Alexander S. 2, 3 , Timofeeva Maria 1 , Povarov S.A. 1 , Li Fengting 4 , Milichko Valentin A. 1, 5
Издательство
Springer Nature
Номер выпуска
1
Язык
Английский
Статус
Опубликовано
Номер
128
Том
5
Год
2024
Организации
  • 1 School of Physics and Engineering, Saint Petersburg National Research University of Information Technologies, Mechanics and Optics University ITMO, Saint Petersburg, Russian Federation
  • 2 Saint Petersburg State University, Saint Petersburg, Russian Federation
  • 3 RUDN University, Moscow, Russian Federation
  • 4 Key Laboratory of Cities' Mitigation and Adaptation to Climate Change in Shanghai, Tongji University, Shanghai, China
  • 5 Institut Jean Lamour, Nancy, France
Ключевые слова
Character recognition; Data handling; Digital storage; Memory architecture; Organometallics; Advanced cognitions; Architecture-based; Computing architecture; Data storage; Energy; Light control; Memristive behavior; Metalorganic frameworks (MOFs); Neuromorphic Architectures; Neuromorphic computing; Single crystals
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