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Recent Advances in Dimensionality Reduction Modeling and Multistability Reconstitution of Memristive Circuit
Published 2021-01-01“…Due to the introduction of memristors, the memristor-based nonlinear oscillator circuits readily present the state initial-dependent multistability (or extreme multistability), i.e., coexisting multiple attractors (or coexisting infinitely many attractors). …”
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42
Binary decision diagram‐based synthesis technique for improved mapping of Boolean functions inside memristive crossbar‐slices
Published 2021-03-01“…Abstract Memristors are two‐terminal nano‐electronic devices that make it possible to design non‐volatile memory and logic circuits with high integration density. …”
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43
Nonlinear memristive computational spectrometer
Published 2025-01-01“…Here, we introduce a computational spectrometer powered by a nonlinear photonic memristor with a WSe2 homojunction. This approach overcomes traditional limitations, such as constrained Fermi level tunability, persistent dark current, and limited photoresponse dimensionality through dynamic energy band modulation driven by palladium (Pd) ion migration. …”
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Circuit Implementation, Synchronization of Multistability, and Image Encryption of a Four-Wing Memristive Chaotic System
Published 2018-01-01“…In this paper, a novel four-wing memristive chaotic system with an active cubic flux-controlled memristor is proposed based on a Lorenz-like circuit. …”
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Noise and Electrical Oscillations Generation during the Investigation of the Resistive Switching in the Yttria Stabilized Zirconia Films by Conductive Atomic Force Microscopy
Published 2015-01-01“…The effect discovered is promising for application in the memristor devices of new generation.…”
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46
Transmembrane voltage-gated nanopores controlled by electrically tunable in-pore chemistry
Published 2025-02-01“…The dynamic nature of the in-pore reactions also facilitates a memristor of sub-nanowatt power consumption. Leveraging chemical degrees of freedom, the present method may be useful for creating iontronic circuits of tunable characteristics toward neuromorphic systems.…”
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47
Layer ensemble averaging for fault tolerance in memristive neural networks
Published 2025-02-01“…In-memory computing architectures using memristor devices offer promise but face challenges due to hardware non-idealities. …”
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48
Giant memory window performance and low power consumption of hexagonal boron nitride monolayer atomristor
Published 2025-02-01“…Abstract Two-dimensional (2D) monolayers have gained significant attention as ultrathin active layers for fabricating atomic-scale memristor (atomristor) structures due to their crystalline structures and clean surfaces. …”
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Dynamic Analysis, Circuit Design, and Synchronization of a Novel 6D Memristive Four-Wing Hyperchaotic System with Multiple Coexisting Attractors
Published 2020-01-01“…In this work, a novel 6D four-wing hyperchaotic system with a line equilibrium based on a flux-controlled memristor model is proposed. The novel system is inspired from an existing 5D four-wing hyperchaotic system introduced by Zarei (2015). …”
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Secure Communication Scheme Based on a New 5D Multistable Four-Wing Memristive Hyperchaotic System with Disturbance Inputs
Published 2020-01-01“…By introducing a flux-controlled memristor model with absolute value function, a 5D multistable four-wing memristive hyperchaotic system (FWMHS) with linear equilibrium points is proposed in this paper. …”
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Mechano-gated iontronic piezomemristor for temporal-tactile neuromorphic plasticity
Published 2025-01-01“…By micro-integrating the mechanogate with an oscillatory iontronic memristor, it exhibits stiffness-induced bipolarized excitatory and inhibitory neuromorphics, thereby enabling the activation of temporal-tactile memory and learning functions (e.g., Bienenstock–Cooper–Munro and Hebbian learning rules). …”
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Neuromorphic system using capacitor synapses
Published 2025-01-01“…Abstract Artificial intelligences are indispensable social infrastructures, neural networks are embodiment methodologies, and neuromorphic systems are promising solutions for compact size and low energy. Memristors were first prepared for the synapse devices but incur energy consumption, and memcapacitors were next prepared but have small dynamic ranges of capacitance. …”
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A simple model for Behavioral Time Scale Synaptic Plasticity (BTSP) provides content addressable memory with binary synapses and one-shot learning
Published 2025-01-01“…They also provide a promising approach for implementing content-addressable memory with on-chip learning capability in highly energy-efficient crossbar arrays of memristors.…”
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Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks
Published 2025-01-01“…Our approach uses an extra column of memristors to produce an appropriately pre-distorted ramp voltage such that the comparator output directly approximates the desired nonlinear function. …”
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