Low Conductance State Drift Characterization and Mitigation in Resistive Switching Memories (RRAM) for Artificial Neural Networks-Reference-Cited by-同舟云学术

Low Conductance State Drift Characterization and Mitigation in Resistive Switching Memories (RRAM) for Artificial Neural Networks

Published:2022-09 Issue:3 Volume:22 Page:340-347
ISSN:1530-4388
Container-title:IEEE Transactions on Device and Materials Reliability
language:
Short-container-title:IEEE Trans. Device Mater. Relib.

Author:

Baroni Andrea¹^ORCID,Glukhov Artem²^ORCID,Perez Eduardo³^ORCID,Wenger Christian⁴^ORCID,Ielmini Daniele²^ORCID,Olivo Piero⁵^ORCID,Zambelli Cristian⁵^ORCID

Affiliation:

1. Material Research Department, IHP—Leibniz Institut fur innovative Mikroelektronik, Frankfurt (Oder), Germany

2. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano and IU.NET, Milano, Italy

3. Material Research Department, IHPŮLeibniz Institut fur innovative Mikroelektronik, Frankfurt (Oder), Germany

4. Material Research Department, IHP-Leibniz Institut fur innovative Mikroelektronik, Frankfurt (Oder), Germany

5. Dipartimento di Ingegneria, Universita degli Studi di Ferrara, Ferrara, Italy

Funder

ECSEL Joint Undertaking

European Union’s Horizon 2020 Research and Innovation Programme and France, Belgium, Czech Republic, Germany, Italy, Sweden, Switzerland, and Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality,Electronic, Optical and Magnetic Materials

Link

http://xplorestaging.ieee.org/ielx7/7298/9876000/09794320.pdf?arnumber=9794320

Reference24 articles.

1. Neuromorphic computing with memristive devices

2. In-memory computing with resistive switching devices

3. Intrinsic switching variability in HfO2 RRAM;fantini;Proc IEEE Int Memory Workshop (IMW),2013

4. Statistical Fluctuations in HfOx Resistive-Switching Memory: Part II—Random Telegraph Noise

5. Impact of RTN on Pattern Recognition Accuracy of RRAM-Based Synaptic Neural Network

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