Threshold Switching Memristor-Based Voltage Regulative Circuit

Wu, Zuheng; Zhang, Changwei; Zou, Jianxun; Peng, Chunyu; Wu, Xiulong

doi:10.1109/tcsii.2022.3221140

Cited by 4 publications

(5 citation statements)

References 26 publications

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“…where µ v is the dopant mobility. The studies reported in [6,8] demonstrated the non-linear behavior of implemented memristors. These studies showed that the resistance of memristors does not change linearly with applied voltage or current.…”

Section: 𝑑𝑤 𝑑𝑡mentioning

confidence: 97%

“…Additionally, these models can also aid in the design and optimization of memristor-based devices, enabling the development of more efficient and reliable technologies. The model proposed in [6] considers the non-linear relationship between the dopant drift and the resulting resistance change in memristors. Understanding the I-V characteristics can significantly enhance the design and optimization of memristor-based circuits and systems.…”

Section: Memristor Modelingmentioning

confidence: 99%

“…Additionally, retaining resistance values allows for efficient and reliable data storage in various electronic devices. Williams and Chua categorize all resistive devices with memory as memristors, regardless of the material or physical operation mechanism [3][4][5][6]. This categorization allows for a broader understanding and classification of various electronic resistive devices that utilize different storage mechanisms, such as phase-change materials, magnetic materials, and even biological systems.…”

Section: Introductionmentioning

confidence: 99%

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Overview of Memristor-Based Design for Analog Applications

Barraj,

Mestiri,

Masmoudi

2024

Micromachines

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Memristor-based design has gained significant attention in recent years due to its potential to revolutionize various fields such as artificial intelligence, neuromorphic computing, non-volatile memory, signal processing, filtering, and radio frequency design. These emerging devices offer unique advantages such as non-volatile memory, low power consumption, and a high integration density. Their scalability and compatibility with existing fabrication processes make them an attractive option for industry adoption, paving the way for faster and more efficient architecture design. Researchers are actively exploring ways to optimize memristor technology for practical applications to harness its full potential. This includes developing novel materials and structures as well as improving the reliability and performance of memristors in various applications. This paper provides a comprehensive overview of the current advancements in memristor technology and their potential impact on the design of future electronic systems, focusing on its applications in the analog domain. By exploring the latest research and development in this field, researchers can gain valuable insights into how analog memristors can be integrated into their designs to achieve enhanced performance and efficiency. The paper delves into the fundamental principles of memristor technology, exploring its unique characteristics and advantages over traditional electronic components. It discusses the potential impact of memristors and challenges in the analog field of electronics, and highlights the progress made in their integration with existing circuitry, enabling novel functionalities and improved performance. Furthermore, it highlights ongoing research efforts to improve the performance and reliability of memristors, as well as the potential limitations and challenges that need to be addressed for widespread adoption, including variability in performance and reliability.

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Section: 𝑑𝑤 𝑑𝑡mentioning

confidence: 97%

Section: Memristor Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Overview of Memristor-Based Design for Analog Applications

Barraj,

Mestiri,

Masmoudi

2024

Micromachines

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“…The threshold switch (TS) model employed for the LTSPICE simulations is adopted from the previous work [13]. The simulated current‐voltage (I‐V) characteristics of the TS device are depicted in Figure 1a.…”

Section: The Design Of Memristive Neuron Circuitmentioning

confidence: 99%

“…Introduction: Neuromorphic computing has emerged as a promising method in the quest for efficient and intelligent information processing systems [1][2][3], drawing inspiration from the intricate dynamics of biological neural systems. Memristors have garnered significant attention for their simple dual-terminal structure, reminiscent of the synapses in biological neural networks [4,5], and rich ion dynamics, which mimic neuronal behavior [6,7]. Memristors offer promising technological pathway towards simplifying the complexity of neuronal circuits, thereby paving the way for the development of high-efficiency neuromorphic systems.…”

mentioning

confidence: 99%

A multifunctional and reconfigurable memristive neuron circuit

Wu,

Yu,

et al. 2024

Electronics Letters

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A memristive neuron circuit which is capable of encoding input information via temporal and adaptive frequency methods within the same structure is proposed. Its multifunctionality allows switching between these modes by adjusting circuit capacitors. Furthermore, it is investigated how other parameters like input voltage and resistance influence output properties for different encoding methods. This research contributes to the development of more flexible neuromorphic computing systems.

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