Publications associées à Memristor

Neuromorphic Architecture with 1M Memristive Synapses for Detection of Weakly Correlated Inputs

Yusuf Leblebici, Stanislaw Andrzej Wozniak, Evangelos Eleftheriou, Severin Sidler, Angeliki Pantazi

Neuromorphic computing takes inspiration from the brain to build highly parallel, energy- and area-efficient architectures. Recently, hardware realizations of neurons and synapses using memristive devices were proposed and applied for the task of correlati ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Negative Capacitance Field Effect Transistors; Capacitance Matching and non-Hysteretic Operation

Mihai Adrian Ionescu, Christian Enz, Igor Stolichnov, Farzan Jazaeri, Ali Saeidi, Francesco Bellando

This work experimentally demonstrates negative capacitance MOSFETs in hysteretic and non-hysteretic modes of operation. A PZT capacitor is externally connected to the gate of commercial nMOSFETs fabricated in 28nm CMOS technology to explore the negative ca ...

IEEE2017

Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing

Irem Boybat Kara, Severin Sidler, Carmelo Di Nolfo

In the conventional von Neumann (VN) architecture, data—both operands and operations to be performed on those operands—makes its way from memory to a dedicated central processor. With the end of Dennard scaling and the resulting slowdown in Moore’s law, th ...

Springer India2017

Negative Capacitance as Performance Booster for Tunnel FETs and MOSFETs: An Experimental Study

Mihai Adrian Ionescu, Christian Enz, Igor Stolichnov, Farzan Jazaeri, Ali Saeidi, Francesco Bellando

This letter reports for the first time a full experimental study of performance boosting of tunnel FETs (TFETs) and MOSFETs by negative capacitance (NC) effect. We discuss the importance of capacitance matching between a ferroelectric NC and a device capac ...

2017

Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns

Yusuf Leblebici, Stanislaw Andrzej Wozniak, Evangelos Eleftheriou, Severin Sidler, Angeliki Pantazi

Neuromorphic systems using memristive devices provide a brain-inspired alternative to the classical von Neumann processor architecture. In this work, a spiking neural network (SNN) implemented using phase-change synapses is studied. The network is equipped ...

2017

Atomistic Simulations of the Crystallization and Aging of GeTe Nanowires

Davide Campi, Edoardo Baldi

Nanowires made of chalcogenide alloys are of interest for use in phase-change nonvolatile memories. For this application, insights into the thermal properties of such nanowires and, in particular, into the crystallization kinetics at the atomic level are c ...

American Chemical Society2017

Endurance Management for Resistive Logic-In-Memory Computing Architectures

Giovanni De Micheli, Mathias Soeken, Pierre-Emmanuel Julien Marc Gaillardon

Resistive Random Access Memory (RRAM) is a promising non-volatile memory technology which enables modern in-memory computing architectures. Although RRAMs are known to be superior to conventional memories in many aspects, they suffer from a low writ ...

Ieee2017

Control of Resistive Switching in Mott Memories Based on TiN/AM4Q8/TiN MIM Devices

Giovanni De Micheli, Davide Sacchetto, Pierre-Emmanuel Julien Marc Gaillardon, Jury Sandrini

The family of AM4Q8 chalcogenide Mott insulators gained attention in recent years for its application opportunities. Here, we explore and validate the resistive switching mechanism of thin-film of GaV4S8 sandwich ...

Electrochemical Society2017

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Memristor

Neuromorphic Architecture with 1M Memristive Synapses for Detection of Weakly Correlated Inputs

Fabrication, Characterization and Integration of Resistive Random Access Memories

Negative Capacitance Field Effect Transistors; Capacitance Matching and non-Hysteretic Operation

Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing

Unsupervised Learning of Phase-Change-Based Neuromorphic Systems

Negative Capacitance as Performance Booster for Tunnel FETs and MOSFETs: An Experimental Study

Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns

Atomistic Simulations of the Crystallization and Aging of GeTe Nanowires

Endurance Management for Resistive Logic-In-Memory Computing Architectures

Control of Resistive Switching in Mott Memories Based on TiN/AM4Q8/TiN MIM Devices

Graph Chatbot

Chattez avec Graph Search

Unsupervised Learning of Phase-Change-Based Neuromorphic Systems

Atomistic Simulations of the Crystallization and Aging of GeTe Nanowires

Endurance Management for Resistive Logic-In-Memory Computing Architectures

Control of Resistive Switching in Mott Memories Based on TiN/AM4Q8/TiN MIM Devices

Fabrication, Characterization and Integration of Resistive Random Access Memories

Neuromorphic Architecture with 1M Memristive Synapses for Detection of Weakly Correlated Inputs

Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing

Negative Capacitance Field Effect Transistors; Capacitance Matching and non-Hysteretic Operation

Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns

Negative Capacitance as Performance Booster for Tunnel FETs and MOSFETs: An Experimental Study