First-Principles Calculation and Experimental Investigation of a Three-Atoms-Type MXene V<sub>2</sub>C and Its Effects on Memristive Devices

Chen, Xintong; Wang, Yu; Shen, Daqi; Zhao, Yize; Zhou, Lei; Qin, Qi; Zhang, Qiangqiang; He, Nan; Wang, Min; Hu, Ertao; Liu, Xiaoyan; Xu, Jianguang; Wang, Lei; Tong, Yi

doi:10.1109/tnano.2021.3089211

Cited by 9 publications

(8 citation statements)

References 40 publications

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“…Recently, a variety of MXene‐based functional materials have been demonstrated for memristor applications, including single‐component M n+1 X n , laminated heterostructures of MXenes with other materials, and composite structures by chemical modification or physical adsorption (representative examples as listed in Table 1 ). Single‐component M n+1 X n as memristive materials include V 2 C, [ 132–134 ] Ti 3 C 2 T x , [ 76,135 ] etc. Due to the different terminal T x of MXenes and different adopted electrodes, the single‐component MXene‐based memristors can show diverse performances and applications.…”

Section: Mxene‐based Memristive Materialsmentioning

confidence: 99%

Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation

Ling

Zhang

et al. 2022

Adv Funct Materials

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Confronted by the difficulties of the von Neumann bottleneck and memory wall, traditional computing systems are gradually inadequate for satisfying the demands of future data-intensive computing applications. Recently, memristors have emerged as promising candidates for advanced in-memory and neuromorphic computing, which pave one way for breaking through the dilemma of current computing architecture. Till now, varieties of functional materials have been developed for constructing high-performance memristors. Herein, the review focuses on the emerging 2D MXene materials-based memristors. First, the mainstream synthetic strategies and characterization methods of MXenes are introduced. Second, the different types of MXenebased memristive materials and their widely adopted switching mechanisms are overviewed. Third, the recent progress of MXene-based memristors for data storage, artificial synapses, neuromorphic computing, and logic circuits is comprehensively summarized. Finally, the challenges, development trends, and perspectives are discussed, aiming to provide guidelines for the preparation of novel MXene-based memristors and more engaging information technology applications.

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Section: Mxene‐based Memristive Materialsmentioning

confidence: 99%

Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation

Ling

Zhang

et al. 2022

Adv Funct Materials

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“…Since different MXenes will have different properties, these can be used to study the performance of memristive devices. The use of V 2 C with Ag as an active electrode (Ag/V 2 C/W 81,143 ) offers the largest dynamic range among the reported MXene works and is forming free. However, it has a high NL and AS, as seen in Figure 11(a), which may be due to its asymmetric SET and RESET voltages.…”

Section: Mxene-based Memristorsmentioning

confidence: 99%

Advances on MXene-Based Memristors for Neuromorphic Computing: A Review on Synthesis, Mechanisms, and Future Directions

Teixeira,

Dias,

Silva

et al. 2024

ACS Nano

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Neuromorphic computing seeks to replicate the capabilities of parallel processing, progressive learning, and inference while retaining low power consumption by drawing inspiration from the human brain. By further overcoming the constraints imposed by the traditional von Neumann architecture, this innovative approach has the potential to revolutionize modern computing systems. Memristors have emerged as a solution to implement neuromorphic computing in hardware, with research based on developing functional materials for resistive switching performance enhancement. Recently, two-dimensional MXenes, a family of transition metal carbides, nitrides, and carbonitrides, have begun to be integrated into these devices to achieve synaptic emulation. MXene-based memristors have already demonstrated diverse neuromorphic characteristics while enhancing the stability and reducing power consumption. The possibility of changing the physicochemical properties through modifications of the surface terminations, bandgap, interlayer spacing, and oxidation for each existing MXene makes them very promising. Here, recent advancements in MXene synthesis, device fabrication, and characterization of MXene-based neuromorphic artificial synapses are discussed. Then, we focus on understanding the resistive switching mechanisms and how they connect with theoretical and experimental data, along with the innovations made during the fabrication process. Additionally, we provide an in-depth review of the neuromorphic performance, making a connection with the resistive switching mechanism, along with a compendium of each relevant performance factor for nonvolatile and volatile applications. Finally, we state the remaining challenges in MXene-based devices for artificial synapses and the next steps that could be taken for future development.

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Section: Generation Technologies For Mid‐ir Ultrashort Pulsesmentioning

confidence: 99%

“…[46] Figure 7g shows the atomic structure, bandgap, and open-hole Z-scan measurement curves of V 2 C-MXene. [59,77] Although stacking of 2D MXene nanomaterials is usually subjected to van der Waals forces, the main features of monolayer MXene nanomaterials are well preserved in the stacked layers, indicating that wellbehaved SAs can be prepared using MXenes. [46g]…”

Section: Nonlinear Optical Properties Of Nanomaterialsmentioning

confidence: 99%

Advances and Challenges of Ultrafast Fiber Lasers in 2–4 µm Mid‐Infrared Spectral Regions

Zhang,

Wu,

Guang

et al. 2023

Laser & Photonics Reviews

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Mid‐infrared (mid‐IR) ultrafast lasers are widely employed in biomedicine, molecular spectroscopy, material processing, and nonlinear optics. With the improvement of fiber gain media and other fiber optical elements, low‐cost, compact, and high‐efficiency fiber lasers open up new opportunities for 2–4 µm pulse generations, which calls for a comprehensive review of their mode‐locking mechanisms, gain media, and fiber laser system performance. This paper, beginning with an overview of pulse‐generation technologies, reviews recent progress on 2–4 µm mid‐IR ultrafast fiber lasers, including Tm3+‐, Ho3+‐doped, Tm3+/Ho3+ codoped silicate fiber 2 µm lasers, and Er3+‐, Dy3+‐doped, and Ho3+/Pr3+ codoped ZBLAN fiber 2.5–4 µm lasers. Among them, the status of 2–4 µm ultrafast fiber lasers based on 2D material passive mode‐locking is emphatically discussed. Meanwhile, the novel advances on mode‐locking and gain fibers of mid‐IR ultrafast fiber lasers are explored. Furthermore, current and prospective applications of such laser systems are also introduced in detail. This review finally summarizes challenges associated with future development of mid‐IR ultrafast fiber lasers, which provides an outlook on how to achieve more desirable laser performance (e.g., higher average power, higher pulse energy, and longer emission wavelength) that can lead to more practical uses of such lasers.

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First-Principles Calculation and Experimental Investigation of a Three-Atoms-Type MXene V₂C and Its Effects on Memristive Devices

Cited by 9 publications

References 40 publications

Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation

Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation

Advances on MXene-Based Memristors for Neuromorphic Computing: A Review on Synthesis, Mechanisms, and Future Directions

Advances and Challenges of Ultrafast Fiber Lasers in 2–4 µm Mid‐Infrared Spectral Regions

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First-Principles Calculation and Experimental Investigation of a Three-Atoms-Type MXene V2C and Its Effects on Memristive Devices

Cited by 9 publications

References 40 publications

Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation

Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation

Advances on MXene-Based Memristors for Neuromorphic Computing: A Review on Synthesis, Mechanisms, and Future Directions

Advances and Challenges of Ultrafast Fiber Lasers in 2–4 µm Mid‐Infrared Spectral Regions

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First-Principles Calculation and Experimental Investigation of a Three-Atoms-Type MXene V₂C and Its Effects on Memristive Devices