Error compensated MOF-based ReRAM array for encrypted logical operations DOI

Semyon V. Bachinin,

Sergey S. Rzhevskiy, Ivan Sergeev

et al.

Dalton Transactions, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Metal-organic frameworks (MOFs) form a unique platform for operation with data using ReRAM technology. Here we report on large-scale fabrication of MOF-based array 6 × cells, demonstrating 50% variation in their electronic parameters. Despite this inhomogeneity, such "non-ideal" is used recording binary information followed by deep learning processes to achieve 95% accuracy reading. Next, the same record numbers (from 0 15) addition. For correct performance an analogue algorithm, determine set coefficients each cell, allowing us use as encrypted key get access logical operations. The obtained results, thereby, demonstrate possibility low error reading coupled

Language: Английский

Research progress on nanomaterial-based electrochemical sensors for the detection of aflatoxin B1 in food and environmental samples DOI

Peiyuan Wei,

Wei Han, Lingling Xie

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: 509, P. 160902 - 160902

Published: Feb. 26, 2025

Language: Английский

Citations

0
Tuning electronic and optical properties of narrow band gap 2D WSn2X4 (X=P, As) materials DOI
Ata Ur Rahman, Ghulam Hussain,

Imad Khan

et al.

Computational Materials Science, Journal Year: 2025, Volume and Issue: 255, P. 113899 - 113899

Published: April 25, 2025

Language: Английский

Citations

0
Zinc Metal-Organic Coordination Polymer with 4,7-di(1,2,4-triazol-1-yl)-2,1,3-Benzothiadiazole and 1,4-Naphthalene Dicarboxylic Acid: Luminescent Properties and Guest–Host Charge Transfer DOI
Dmitry I. Pavlov, Alexey A. Ryadun, Vladimir P. Fedin

et al.

Journal of Structural Chemistry, Journal Year: 2024, Volume and Issue: 65(12), P. 2567 - 2578

Published: Dec. 1, 2024

Language: Английский

Citations

3
Transformation of 3D Metal–Organic Frameworks into Nanosheets with Enhanced Memristive Behavior for Electronic Data Processing DOI Creative Commons
Yuri A. Mezenov,

Semyon V. Bachinin,

Yuliya Kenzhebayeva

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 2, 2025

Abstract The transition from three‐dimensional (3D) to two‐dimensional (2D) semiconducting and insulating materials for micro‐ opto‐electronics is driven by an energy efficiency device miniaturization. Herein, the simplicity of growth stacking 2D metal–organic framework (MOF) with such planar devices opens up new perspectives in controlling their operating parameters. Here, study reports on 3D MOF’ structural transformation achieve ultrathin nanosheets enhanced properties. Based neutral N‐donor ligands, designs solvothermally synthesizes MOFs followed thermal solvent treatment implement transformation. A set single crystal powder X‐ray diffraction, electron microscopy, Raman spectroscopy, numerical modeling, mechanical exfoliation confirm nature Compared initial MOF, its demonstrate sufficient changes electronic properties, expressed as tuning absorption, photoluminescence, resistivity. latter allows prototype memristive element based a 4 32 nm MOF nanosheet functionality (150 1400 ON/OFF ratio, retention time exceeding 7300 s, 100 cycles switching), thereby, extending list scalable opto‐electronics.

Language: Английский

Citations

0
Direct laser writing of binary data on metal-organic framework surface DOI

Varvara Kharitonova,

Anastasia Lubimova,

Valentin A. Milichko

et al.

Photonics and Nanostructures - Fundamentals and Applications, Journal Year: 2025, Volume and Issue: unknown, P. 101385 - 101385

Published: April 1, 2025

Language: Английский

Citations

0
Multifunctional Organic Materials, Devices, and Mechanisms for Neuroscience, Neuromorphic Computing, and Bioelectronics DOI Creative Commons

Felix L Hoch,

Qishen Wang,

Kian Guan Lim

et al.

Nano-Micro Letters, Journal Year: 2025, Volume and Issue: 17(1)

Published: May 8, 2025

Abstract Neuromorphic computing has the potential to overcome limitations of traditional silicon technology in machine learning tasks. Recent advancements large crossbar arrays and silicon-based asynchronous spiking neural networks have led promising neuromorphic systems. However, developing compact parallel for integrating artificial into hardware remains a challenge. Organic computational materials offer affordable, biocompatible devices with exceptional adjustability energy-efficient switching. Here, review investigates made development organic devices. This explores resistive switching mechanisms such as interface-regulated filament growth, molecular-electronic dynamics, nanowire-confined vacancy-assisted ion migration, while proposing methodologies enhance state retention conductance adjustment. The survey examines challenges faced implementing low-power computing, e.g., reducing device size improving time. analyses these adjustable, flexible, consumption applications, viz. biohybrid circuits interacting biological systems, systems that respond specific events, robotics, intelligent agents, bioelectronics, neuroscience, other prospects this technology.

Language: Английский

Citations

0
Error compensated MOF-based ReRAM array for encrypted logical operations DOI

Semyon V. Bachinin,

Sergey S. Rzhevskiy, Ivan Sergeev

et al.

Dalton Transactions, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Metal-organic frameworks (MOFs) form a unique platform for operation with data using ReRAM technology. Here we report on large-scale fabrication of MOF-based array 6 × cells, demonstrating 50% variation in their electronic parameters. Despite this inhomogeneity, such "non-ideal" is used recording binary information followed by deep learning processes to achieve 95% accuracy reading. Next, the same record numbers (from 0 15) addition. For correct performance an analogue algorithm, determine set coefficients each cell, allowing us use as encrypted key get access logical operations. The obtained results, thereby, demonstrate possibility low error reading coupled

Language: Английский

Citations

1