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MINI REVIEW article
Front. Nanotechnol.
Sec. Nanodevices
Volume 7 - 2025 | doi: 10.3389/fnano.2025.1558743
This article is part of the Research TopicEmerging Memory Devices Based on NanomaterialsView all articles
Advanced Memristive Architectures Based on Nanomaterials for Biomedical Applications: AMini Review
Provisionally accepted- 1Faculte des Sciences de Monastir (FSM), Monastir, Tunisia
- 2Laboratoire de recherche d'électronique et microelectronique LR99ES30, université de Monastir, Monastir, Tunisia
- 3Ghent University, Ghent, Belgium
- 4Centre for Microsystems Technology, Ghent University, Gent, Belgium
- 5Imec, Ghent University, Ghent, East Flanders, Belgium
- 6Khalifa University, Abu Dhabi, Abu Dhabi, United Arab Emirates
- 7Centre for Autonomous Robotic Systems, Khalifa University, Abu Dhabi, Abu Dhabi, United Arab Emirates
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In recent years, the interest of science in big data sensing, storage and processing has been growing fast. Nano-materials have been widely used in resistive switching devices thanks to their distinguished properties. Furthermore, they provide nano-scale dimensions and compatibility with fabrication procedures and complementary metal oxide semiconductor (CMOS) technology. Nano-materials can also enhance the performance of memristive structures. The operation of a memristor, which enables efficient resistive switching characterized by fast response, increased storage density, and low power requirements, depends largely on nano-materials and deposition techniques. Herein, a comprehensive brief review of nano-material RRAM arrays and their application in biomedical is discussed. First, we introduce planar and array resistive switching structures. Second, we report the different nanomaterial categories that can be used in resistive random-access memories (RRAMs). Then, we focus on the integration of 3D nano-material-based memristive crossbars for in-memory computing and biosensing arrays and discuss representative applications. The exploration of nano-materials enables the development of enhanced resistive switching architectures with increased signal integrity, great speed, and ultra-high sensitivity towards thermally and electrically stable memristive biomedical platforms.
Keywords: Nano-materials, Memristor, resistive switching, Crossbar, in-memory computing, biosensing arrays
Received: 10 Jan 2025; Accepted: 27 Mar 2025.
Copyright: © 2025 Bouzouita, Pathak, Zayer, Begacem and TZOUVADAKI. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: IOULIA TZOUVADAKI, Ghent University, Ghent, Belgium
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