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Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing

Science (American Association for the Advancement of Science), 2019-05, Vol.364 (6440), p.570-574

2019

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High-Speed and Low-Energy Nitride Memristors

Advanced functional materials, 2016-08, Vol.26 (29), p.5290-5296

2016

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Shape-Based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron

IEEE transactions on electron devices, 2019-11, Vol.66 (11), p.4970-4975

2019

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Radiation Effects in Advanced and Emerging Nonvolatile Memories

IEEE transactions on nuclear science, 2021-05, Vol.68 (5), p.546-572

Marinella, Matthew J.

2021

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In situ Parallel Training of Analog Neural Network Using Electrochemical Random-Access Memory

Frontiers in neuroscience, 2021-04, Vol.15, p.636127-636127

2021

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Detection and characterization of multi-filament evolution during resistive switching

Applied physics letters, 2014-08, Vol.105 (5)

2014

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Filament Formation in TaOx Thin Films for Memristor Device Application: Modeling Electron Energy Loss Spectra and Electron Transport

Advanced electronic materials, 2023-01, Vol.9 (1), p.n/a

2023

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A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing

Nature materials, 2017-04, Vol.16 (4), p.414-418

2017

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Slow Detrapping Transients due to Gate and Drain Bias Stress in High Breakdown Voltage AlGaN/GaN HEMTs

IEEE transactions on electron devices, 2012-08, Vol.59 (8), p.2115-2122

2012

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Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks

IEEE journal on exploratory solid-state computational devices and circuits, 2019-06, Vol.5 (1), p.52-57

2019

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The Impact of Analog-to-Digital Converter Architecture and Variability on Analog Neural Network Accuracy

IEEE journal on exploratory solid-state computational devices and circuits, 2023-12, Vol.9 (2), p.176-184

2023

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Li‐Ion Synaptic Transistor for Low Power Analog Computing

Advanced materials (Weinheim), 2017-01, Vol.29 (4), p.np-n/a

2017

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Physical Compact Model for Three‐Terminal SONOS Synaptic Circuit Element

Advanced intelligent systems, 2022-09, Vol.4 (9), p.n/a

2022

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Parallel Matrix Multiplication Using Voltage-Controlled Magnetic Anisotropy Domain Wall Logic

IEEE journal on exploratory solid-state computational devices and circuits, 2023-06, Vol.9 (1), p.65-73

2023

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Direct Visualization of Charge Migration in Bilayer Tantalum Oxide Films by Multimodal Imaging

Advanced electronic materials, 2024-01, Vol.10 (1), p.n/a

2024

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Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks

IEEE access, 2019-01, Vol.7, p.73938-73953

2019

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Analog architectures for neural network acceleration based on non-volatile memory

Applied physics reviews, 2020-09, Vol.7 (3)

2020

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Molecular memristors offer a path to ultra-efficient computing

Nature (London), 2021-09, Vol.597 (7874), p.36-37

2021

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Filament‐Free Bulk Resistive Memory Enables Deterministic Analogue Switching

Advanced materials (Weinheim), 2020-11, Vol.32 (45), p.e2003984-n/a

2020

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Energy and Performance Benchmarking of a Domain Wall-Magnetic Tunnel Junction Multibit Adder

IEEE journal on exploratory solid-state computational devices and circuits, 2019-12, Vol.5 (2), p.188-196

2019

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Molecular memristors for ultra-efficient computing

Nature (London), 2021-09, Vol.597 (7874), p.36-37

2021

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A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks

Applied physics letters, 2021-05, Vol.118 (20)

2021

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Memristive switching: physical mechanisms and applications

Modern physics letters. B, Condensed matter physics, statistical physics, applied physics, 2014-04, Vol.28 (10), p.1430003

2014

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Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator

IEEE journal on emerging and selected topics in circuits and systems, 2018-03, Vol.8 (1), p.86-101

2018

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Domain wall-magnetic tunnel junction spin–orbit torque devices and circuits for in-memory computing

Applied physics letters, 2021-03, Vol.118 (11)

2021

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Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing

High-Speed and Low-Energy Nitride Memristors

Shape-Based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron

Radiation Effects in Advanced and Emerging Nonvolatile Memories

In situ Parallel Training of Analog Neural Network Using Electrochemical Random-Access Memory

Detection and characterization of multi-filament evolution during resistive switching

Filament Formation in TaOx Thin Films for Memristor Device Application: Modeling Electron Energy Loss Spectra and Electron Transport

A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing

Slow Detrapping Transients due to Gate and Drain Bias Stress in High Breakdown Voltage AlGaN/GaN HEMTs

Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks

The Impact of Analog-to-Digital Converter Architecture and Variability on Analog Neural Network Accuracy

Li‐Ion Synaptic Transistor for Low Power Analog Computing

Physical Compact Model for Three‐Terminal SONOS Synaptic Circuit Element

Parallel Matrix Multiplication Using Voltage-Controlled Magnetic Anisotropy Domain Wall Logic

Direct Visualization of Charge Migration in Bilayer Tantalum Oxide Films by Multimodal Imaging

Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks

Analog architectures for neural network acceleration based on non-volatile memory

Molecular memristors offer a path to ultra-efficient computing

Filament‐Free Bulk Resistive Memory Enables Deterministic Analogue Switching

Energy and Performance Benchmarking of a Domain Wall-Magnetic Tunnel Junction Multibit Adder

Molecular memristors for ultra-efficient computing

A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks

Memristive switching: physical mechanisms and applications

Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator

Domain wall-magnetic tunnel junction spin–orbit torque devices and circuits for in-memory computing

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