Memristor-based neural networks: a bridge from device to artificial intelligence

Cao, Zelin; Sun, Bai; Zhou, Guangdong; Mao, Shuangsuo; Zhu, Shouhui; Zhang, Jie; Ke, Chuan; Zhao, Yong; Shao, Jinyou

doi:10.1039/d2nh00536k

Cited by 63 publications

(32 citation statements)

References 196 publications

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“…To demonstrate the resistive switching in the copper silicate chemical garden, memristor devices were prepared with the MIM (metal–insulator–metal) structure, , comprising indium tin oxide (ITO) as the bottom electrode (BE) and silver (Ag) as the top electrode (Figure a) with energy level diagram (Figure b). It is noteworthy that memristor devices were prepared and characterized under ambient conditions, maintaining approximately 60% relative humidity (RH), without requiring additional encapsulation.…”

Section: Resultsmentioning

confidence: 99%

Interface Engineering Enables Multilevel Resistive Switching in Ultra-Low-Power Chemobrionic Copper Silicate

Patel,

Busupalli

et al. 2024

Langmuir

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Memristor is assuming prominence due to its exceptionally low power consumption, adaptable, and parallel signal processing capabilities that address the limitations of the von Neumann architecture to meet the growing demand for advanced technologies such as artificial intelligence, Internet of Things (IoTs), and neuromorphic computation. In this work, we demonstrate resistive switching in copper silicate-based hollow tube-forming self-organized membrane structures belonging to the category of chemobrionics or chemical gardens to demonstrate cost-effective and highly efficient memristor devices. The device architecture is configured as ITO/PEDOT:PSS/active layer (copper silicate)/PMMA/Ag, an arrangement that serves to stabilize current−voltage hysteresis and exhibit a low SET voltage ∼0.2 V with a 0.8 nJ power consumption while manifesting robust data endurance and multilevel resistive switching. The inherent self-rectifying behavior, characterized by a high rectification ratio of 60, underscores the potential utility of these devices across a spectrum of electronic applications. To emulate the functionality of biological synapses, fundamental synaptic characteristics are assessed, including paired-pulse facilitation (PPF) and potentiation and depression (P&D). We validate the potential of copper silicate chemical garden-based memristor devices for applications that require real-time synaptic processing. Importantly, the fabrication of these devices was accomplished through a comprehensive solution-based, low-temperature process conducted under ambient environmental conditions, obviating the need for specialized glovebox facilities.

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Section: Resultsmentioning

confidence: 99%

Interface Engineering Enables Multilevel Resistive Switching in Ultra-Low-Power Chemobrionic Copper Silicate

Patel,

Busupalli

et al. 2024

Langmuir

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“…This would render amnesic resistors highly valuable in various fields, including logic operations, bionic synapses, neural networks, image recognition, in vivo diagnosis, and biomedical intelligent systems. 81,82 Fig. 6 Memristors in artificial intelligence in medicine: (a) schematic of ultrathin plastic electronic foils and feather float.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Memristor based electronic devices towards biomedical applications

Zhang,

Du,

Yang

et al. 2024

J. Mater. Chem. C

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“…It can greatly enhance its information processing and storage capabilities when it is combined with flexible memristors. Therefore, flexible memristors have excellent electrochemical and mechanical properties, paving the way for the development of large-scale integrated circuits and multifunctional applications, and providing new architectural models for memory computing and artificial neural networks, − as shown in Figure . Although there are still many difficulties to be solved, there is ample reason to believe that the development and integration of flexible memristors is promising for nanoelectronic devices in the next generation of Internet of Things (IoT) applications. − …”

Section: Discussionmentioning

confidence: 99%

Flexible Memristor-Based Nanoelectronic Devices for Wearable Applications: A Review

Rao,

Wang,

Mao

et al. 2023

ACS Appl. Nano Mater.

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In the high-tech and intelligent era of the 21st century, as one of the important electronic devices, wearable electronic products can effectively improve work efficiency and quality of life. Since memristors have broad application prospects in information storage, neural synapses, neural networks, neuromorphic computation, electronic skin (e-skin), and brain-like chips, the development of flexible electronic devices based on memristors has received extensive attention. However, the incompatibility between the flexible substrate and the functional layer, the performance degradation after repeated bending, and the instability of devices in the biological environment greatly limit the commercial application of flexible memristors. In this review, the characteristics and applications of different types of functional layer nanomaterial-based memristors are first analyzed, and the preparation and integration of the devices are discussed. Then the development bottleneck of flexible memristors is introduced, and corresponding solutions are proposed. Finally, we look forward to the development of intelligent flexible memristors and point out the direction for the development of wearable electronic products based on flexible memristors, which promotes research of flexible memristors in artificial intelligence.

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Memristor-based neural networks: a bridge from device to artificial intelligence

Abstract: Since the 21st century, there is no doubt that the importance of artificial intelligence has been highlighted in many fields, among which the memristor-based artificial neural networks technology is expected...

Cited by 63 publications

References 196 publications

Interface Engineering Enables Multilevel Resistive Switching in Ultra-Low-Power Chemobrionic Copper Silicate

Interface Engineering Enables Multilevel Resistive Switching in Ultra-Low-Power Chemobrionic Copper Silicate

Memristor based electronic devices towards biomedical applications

Flexible Memristor-Based Nanoelectronic Devices for Wearable Applications: A Review

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