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An efficient memristive alternating crossbar array and the design of full adder
Memristor is one of the most promising emerging technologies to solve the von Neumann bottleneck problem due to its non-volatile and binary...
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Shared control of a 16 semiconductor quantum dot crossbar array
The efficient control of a large number of qubits is one of the most challenging aspects for practical quantum computing. Current approaches in...
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Local Anodic Oxidation for Crossbar-Array Architecture
AbstractThe formation feasibility for a neural network based on crossbar-array architecture on a silicon substrate has been demonstrated. The...
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Purely self-rectifying memristor-based passive crossbar array for artificial neural network accelerators
Memristor-integrated passive crossbar arrays (CAs) could potentially accelerate neural network (NN) computations, but studies on these devices are...
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A multi-value 3D crossbar array nonvolatile memory based on pure memristors
How to improve the storage density and solve the sneak path current problem has become the key to the design of nonvolatile memristive memory. In...
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A memristor crossbar based on a novel ternary memristor model
In this paper, a high-density programmable logic array based on a ternary memristor crossbar array is designed. Based on the three-valued state...
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Memristive crossbar-based circuit design of back-propagation neural network with synchronous memristance adjustment
The performance improvement of CMOS computer fails to meet the enormous data processing requirement of artificial intelligence progressively. The...
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A crossbar array of magnetoresistive memory devices for in-memory computing
Implementations of artificial neural networks that borrow analogue techniques could potentially offer low-power alternatives to fully digital...
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Thermally robust HfNx-based bidirectional diode and its integration with RRAM for crossbar array application
High-density nonvolatile memories can be realized by fabricating resistive random-access memories (RRAMs) as 4F 2 (F: minimum feature size) cells in a...
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Performance analysis of DNA crossbar arrays for high-density memory storage applications
Deoxyribonucleic acid (DNA) has emerged as a promising building block for next-generation ultra-high density storage devices. Although DNA has high...
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Hybrid architecture based on two-dimensional memristor crossbar array and CMOS integrated circuit for edge computing
The fabrication of integrated circuits (ICs) employing two-dimensional (2D) materials is a major goal of semiconductor industry for the next decade,...
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Scalable massively parallel computing using continuous-time data representation in nanoscale crossbar array
The growth of connected intelligent devices in the Internet of Things has created a pressing need for real-time processing and understanding of large...
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Optimal and scalable entanglement distribution over crossbar quantum networks
Crossbar networks are a cornerstone of network architectures, capable of operating both as standalone interconnections or as integral switching...
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Geometric Algebra Algorithm Code Optimised by GAALOP Executing on a Simulated Memristor Crossbar Array
GAALOP (Geometric Algebra ALgorithms OPtimizer) is software designed to optimize the execution of multiple steps in a Geometric Algebra algorithm by...
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An efficient full-size convolutional computing method based on memristor crossbar
Modern artificial intelligence systems based on neural networks need to perform a large number of repeated parallel operations quickly. Without...
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Specifics of Crossbar Resistor Arrays
Parallel neuromorphic computing is based on matrix-vector multiplications which can be realized using resistor arrays. The arrays should consist of...
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Highly Efficient Back-End-of-Line Compatible Flexible Si-Based Optical Memristive Crossbar Array for Edge Neuromorphic Physiological Signal Processing and Bionic Machine Vision
The emergence of the Internet-of-Things is anticipated to create a vast market for what are known as smart edge devices, opening numerous...
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First demonstration of in-memory computing crossbar using multi-level Cell FeFET
Advancements in AI led to the emergence of in-memory-computing architectures as a promising solution for the associated computing and memory...
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Crossbar operation of BiFeO3/Ce–CaMnO3 ferroelectric tunnel junctions: From materials to integration
Ferroelectric Tunnel Junctions (FTJs) are a candidate for the hardware realization of synapses in artificial neural networks. The fabrication process...
