Nanoscale memristor devices: materials, fabrication, and artificial intelligence

Yu, Yongchao; Xiao, Ming; Fieser, David; Zhou, Wei; Hu, Anming

doi:10.1039/d3tc04510b

Cited by 15 publications

(2 citation statements)

References 299 publications

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“…Moreover, we designed this process to be continuously operable, aiming to ensure a steady and efficient generation of high-quality single-phase nanoparticles. Our method has also reported the unique fabrication of nanoparticle chains fabricated through laser-induced nanojoining [ 39 , 40 ]. This method, now proven successful, has the potential to revolutionize the production of HEA nanoparticles, offering a scalable and consistent approach for industrial applications.…”

Section: Introductionmentioning

confidence: 99%

Synthesis and Unique Behaviors of High-Purity HEA Nanoparticles Using Femtosecond Laser Ablation

Fieser,

Lan,

Gulino

et al. 2024

Nanomaterials

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High-entropy alloys (HEAs) are a class of metal alloys consisting of four or more molar equal or near-equal elements. HEA nanomaterials have garnered significant interest due to their wide range of applications, such as electrocatalysis, welding, and brazing. Their unique multi-principle high-entropy effect allows for the tailoring of the alloy composition to facilitate specific electrochemical reactions. This study focuses on the synthesis of high-purity HEA nanoparticles using the method of femtosecond laser ablation synthesis in liquid. The use of ultrashort energy pulses in femtosecond lasers enables uniform ablation of materials at significantly lower power levels compared to longer pulse or continuous pulse lasers. We investigate how various femtosecond laser parameters affect the morphology, phase, and other characteristics of the synthesized nanoparticles. An innovative aspect of our solution is its ability to rapidly generate multi-component nanoparticles with a high fidelity as the input multi-component target material at a significant yielding rate. Our research thus focuses on a novel synthesis of high-entropy alloying CuCoMn1.75NiFe0.25 nanoparticles. We explore the characterization and unique properties of the nanoparticles and consider their electrocatalytic applications, including high power density aluminum air batteries, as well as their efficacy in the oxygen reduction reaction (ORR). Additionally, we report a unique nanowire fabrication phenomenon achieved through nanojoining. The findings from this study shed light on the potential of femtosecond laser ablation synthesis in liquid (FLASiL) as a promising technique for producing high-purity HEA nanoparticles.

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Section: Introductionmentioning

confidence: 99%

Synthesis and Unique Behaviors of High-Purity HEA Nanoparticles Using Femtosecond Laser Ablation

Fieser,

Lan,

Gulino

et al. 2024

Nanomaterials

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“…1–3 Through memristors, neural networks can achieve efficient computation and storage, thereby improving throughput and energy efficiency. 4–11 Their programmability and multi-conductance characteristics enable memristors to adapt to various neural network structures and application requirements, facilitating precise model training and inference. Additionally, memristors can also enable low-power, high-performance real-time processing in edge computing scenarios, providing critical support for the application of artificial intelligence technologies in fields such as smartphones and the Internet-of-Things (IoT).…”

Section: Introductionmentioning

confidence: 99%

High synaptic plasticity enabled by controlled ion migration in organic heterojunction memristors

Qian,

Li,

et al. 2024

J. Mater. Chem. C

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Multilevel Optical Storage, Dynamic Light Modulation, and Polarization Control in Filamented Memristor System

Korneluk,

Stefaniuk

2024

Advanced Materials

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The electrochemical metallization (ECM) mechanism is emerging as a promising approach for the development of optical memristors—nonvolatile memory systems proposed for use as artificial synapses in neuromorphic computing applications. ECM memristors offer exceptional operating dynamics and power efficiency compared to other systems, but challenges with reproducible cycle‐to‐cycle state switching and the absence of advanced optical functionalities hinder their integration into photonic systems. In this work, an ECM free‐standing memristor structure is proposed, which simultaneously offers wavelength‐dependent multilevel nonvolatile optical storage, volatile light modulation, and dynamic polarization control. It is demonstrated that in the presence of a resonance, the optical readout provides noise‐free, robust, and significantly more accurate information about the memristor's state than electrical measurement. The use of light allows to gain insight into the intermediate electrical levels of the device as it transitions between high and low resistance states and to recover the complete record of applied voltages even when stochastic filament ruptures occur. Finally, the investigations show that spectroscopic ellipsometry provides real‐time information on the dynamics of cation movement and the corresponding permittivity changes at the interfaces between the switching layer and the electrodes, thus becoming a complementary characterization method for ECM memristors alongside state‐of‐the‐art techniques.

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Nanoscale memristor devices: materials, fabrication, and artificial intelligence

Abstract: With the advent of the big data era and the Internet of Things, promising hardware techniques for data storage and energy-efficient data processing are in great demand. This is especially...

Cited by 15 publications

References 299 publications

Synthesis and Unique Behaviors of High-Purity HEA Nanoparticles Using Femtosecond Laser Ablation

Synthesis and Unique Behaviors of High-Purity HEA Nanoparticles Using Femtosecond Laser Ablation

High synaptic plasticity enabled by controlled ion migration in organic heterojunction memristors

Multilevel Optical Storage, Dynamic Light Modulation, and Polarization Control in Filamented Memristor System

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