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Filament-free memristors for computing
Memristors have attracted increasing attention due to their tremendous potential to accelerate data-centric computing systems. The dynamic...
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Solution-processed memristors: performance and reliability
Memristive devices are gaining importance in the semiconductor industry for applications in information storage, artificial intelligence cryptography...
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Three-dimensional/one-dimensional perovskite heterostructures for stable tri-state synaptic memristors
Memristors have great potential in neural network computation. Perovskite memristors exhibit excellent resistive-switching (RS) properties between...
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Role of defects in resistive switching dynamics of memristors
Resistive-switching memristors are promising device structures for future memory and neuromorphic computing applications. Defects are shown to be...
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Resistive switching properties in ferromagnetic co-doped ZnO thin films-based memristors for neuromorphic computing
This paper presents the synthesis and characterization of cobalt and manganese co-doped zinc oxide (ZnO) ferromagnetic nanoparticles via a chemical...
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Scalable nanocomposite parylene-based memristors: Multifilamentary resistive switching and neuromorphic applications
Memristors are promising candidates for synapse emulation in brain-inspired neuromorphic computing systems. The main obstacle to their usage in such...
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High-Performance Memristors Based on Bi2Te3
The increasing demand for electronic devices in the environmental and medical fields has attracted considerable attention regarding their...
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Electrical Properties of Silicon-Nitride-Based Memristors on Silicon-on-Insulator Substrate
AbstractMemristors attract the considerable interest of researchers and engineers due to the prospects for creating new information and computing...
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Understanding the Electrical Characteristics of Electrochemical Metallization Memristors through Identification of Conduction Channel in Entire Active Area
Physical observation of electrochemical metallization (ECM) channel is required for understanding the electrical characteristics of ECM memristors....
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Multilevel state ferroelectric La:HfO2-based memristors and their implementations in associative learning circuit and face recognition
As Moore’s Law approaches physical limits, traditional von Neumann buildings are facing challenges. The application of memristors in multilayer...
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Stochastic resonance in 2D materials based memristors
Stochastic resonance is an essential phenomenon in neurobiology, it is connected to the constructive role of noise in the signals that take place in...
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Dynamical memristors for higher-complexity neuromorphic computing
Research on electronic devices and materials is currently driven by both the slowing down of transistor scaling and the exponential growth of...
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One-vs-One, One-vs-Rest, and a novel Outcome-Driven One-vs-One binary classifiers enabled by optoelectronic memristors towards overcoming hardware limitations in multiclass classification
Deep neural networks have achieved considerable success over the past ten years in a variety of fields. However, current state-of-the-art artificial...
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Impact of (Co–Fe–B)x(LiNbO3)100–x Nanocomposite Memristors Characteristics Dispersion on Dopamine-Like Modulation of Synaptic Plasticity
AbstractThe use of memristors as modulators of synaptic connections is a promising direction in the development of neuromorphic computing systems...
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Bio-synapse behavior controlled by interface engineering in ferroelectric tunnel memristors
The interface engineering is always an important way to modulate the behavior of the ferroelectric tunnel memristor (FTM), which directly affects its...
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Arrays of Nanocomposite Crossbar Memristors for the Implementation of Formal and Spiking Neuromorphic Systems
Memristors are promising devices for use as synapses in hardware-based artificial formal and spiking neural networks. Their use can increase the...
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Electrical Properties of Silicon-Oxide-Based Memristors on Silicon-on-Insulator Substrates
AbstractMemristors attract the considerable interest of researchers and engineers due to the prospects for creating new information and computing...
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Self-healing memristors based on SA/PVA/STB hydrogel
Self-healing memristor devices were fabricated in this study using a cost-effective and structurally uncomplicated hydrogel consisting of...
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Recent advances on crystalline materials-based flexible memristors for data storage and neuromorphic applications
Memristors have recently emerged as promising contenders for in-memory computing and artificial neural networks, attributed to their analogies to...
