Resistive Switching Crossbar Arrays Based on Layered Materials
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Materials"
DOI: 10.1002/adma.202205402
Abstract: Resistive switching (RS) devices are metal/insulator/metal cells that can change their electrical resistance when electrical stimuli are applied between the electrodes, and they can be used to store and compute data. Planar crossbar arrays of… read more here.
Keywords: materials resistive; crossbar arrays; layered materials; resistive switching ... See more keywords
Sneak, discharge, and leakage current issues in a high-dimensional 1T1M memristive crossbar
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Computational Electronics"
DOI: 10.1007/s10825-020-01470-0
Abstract: Memristive crossbar arrays are believed to be the future of high-density nonvolatile memory and neuromorphic systems. However, significant challenges related to the passive crossbar architecture, for example, the sneak current issue, impose limitations on their… read more here.
Keywords: 1t1m memristive; sneak discharge; discharge leakage; memristive crossbar ... See more keywords
Impact of Lateral SnO2 Nanofilm Channel Geometry on a 1024 Crossbar Chemical Sensor Array.
Sign Up to like & getrecommendations! Published in 2022 at "ACS sensors"
DOI: 10.1021/acssensors.1c02173
Abstract: We propose a rational strategy to fabricate thermally robust, highly integrated molecular and gas sensors utilizing a lateral SnO2 nanofilm channel geometry on a 1024 crossbar sensor array. The proposed lateral channel geometry substantially suppresses… read more here.
Keywords: sno2 nanofilm; geometry; sensor array; crossbar ... See more keywords
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
Sign Up to like & getrecommendations! Published in 2018 at "Nature Communications"
DOI: 10.1038/s41467-018-04482-4
Abstract: The progress in the field of neural computation hinges on the use of hardware more efficient than the conventional microprocessors. Recent works have shown that mixed-signal integrated memristive circuits, especially their passive (0T1R) variety, may… read more here.
Keywords: implementation multilayer; network; perceptron; passive memristive ... See more keywords
Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimension
Sign Up to like & getrecommendations! Published in 2018 at "Nature Nanotechnology"
DOI: 10.1038/s41565-018-0302-0
Abstract: The memristor1,2 is a promising building block for next-generation non-volatile memory3, artificial neural networks4–7 and bio-inspired computing systems8,9. Organizing small memristors into high-density crossbar arrays is critical to meet the ever-growing demands in high-capacity and… read more here.
Keywords: density; memristor crossbar; arrays half; crossbar arrays ... See more keywords
A provable key destruction scheme based on memristive crossbar arrays
Sign Up to like & getrecommendations! Published in 2018 at "Nature Electronics"
DOI: 10.1038/s41928-018-0146-5
Abstract: Digital keys are commonly used in today’s hardware security systems. However, the provable destruction of these keys after use remains a challenging problem. Most security primitives built using traditional complementary metal–oxide–semiconductor transistors are not well… read more here.
Keywords: array; destruction; key destruction; provable key ... See more keywords
Parylene-based memristive crossbar structures with multilevel resistive switching for neuromorphic computing
Sign Up to like & getrecommendations! Published in 2022 at "Nanotechnology"
DOI: 10.1088/1361-6528/ac5cfe
Abstract: Currently, there is growing interest in wearable and biocompatible smart computing and information processing systems that are safe for the human body. Memristive devices are promising for solving such problems due to a number of… read more here.
Keywords: neuromorphic computing; resistive switching; multilevel resistive; parylene based ... See more keywords
Crossbar-Aware Neural Network Pruning
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2874823
Abstract: Crossbar architecture has been widely adopted in neural network accelerators due to the efficient implementations on vector-matrix multiplication operations. However, in the case of convolutional neural networks (CNNs), the efficiency is compromised dramatically because of… read more here.
Keywords: network; network pruning; aware neural; neural network ... See more keywords
Efficient Signed Arithmetic Multiplication on Memristor-Based Crossbar
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3263259
Abstract: The vast potential of memristor-based computation-in-memory (CIM) engines has mainly triggered the mapping of best-suited applications. Nevertheless, with additional support, existing applications can also benefit from CIM. In particular, this paper proposes an energy and… read more here.
Keywords: efficient; tex math; inline formula; memristor based ... See more keywords
Parasitic-Aware Modeling and Neural Network Training Scheme for Energy-Efficient Processing-in-Memory With Resistive Crossbar Array
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2022.3172170
Abstract: This paper presents a parasitic-aware modeling method for fast and accurate simulation of Processing-in-Memory (PIM) neural network (NN) implemented in resistive memristor crossbar array. This work proposed an efficient and accurate crossbar line resistance estimation… read more here.
Keywords: tex math; inline formula; memory; crossbar array ... See more keywords
Recursive Threshold Logic—A Bioinspired Reconfigurable Dynamic Logic System With Crossbar Arrays
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2020.3027554
Abstract: The neuron behavioral models are inspired by the principle of the firing of neurons, and weighted accumulation of charge for a given set of input stimuli. Biological neurons show dynamic behavior through its feedback and… read more here.
Keywords: bioinspired reconfigurable; crossbar; recursive threshold; logic ... See more keywords