Nonvolatile Memristive Switching in Self-assembled Nanoparticle Dimers-Reference-Cited by-同舟云学术

Nonvolatile Memristive Switching in Self-assembled Nanoparticle Dimers

Published:2020-03-13 Issue:4 Volume:2 Page:1099-1105
ISSN:2637-6113
Container-title:ACS Applied Electronic Materials
language:en
Short-container-title:ACS Appl. Electron. Mater.

Author:

Speckbacher Maximilian¹^ORCID,Jakob Matthias²^ORCID,Döblinger Markus³,Veinot Jonathan G. C.⁴^ORCID,Kartouzian Aras²^ORCID,Heiz Ueli²^ORCID,Tornow Marc¹⁵⁶^ORCID

Affiliation:

1. Molecular Electronics, Department of Electrical and Computer Engineering, Technical University of Munich, Theresienstraße 90, 80333 Munich, Germany

2. Department of Chemistry, Technical University of Munich, Lichtenbergstraße 4, 85748 Garching, Germany

3. Department of Chemistry, Ludwig-Maximilians-University, Butenandtstr 5-13, 81377 Munich, Germany

4. Department of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada

5. Center for NanoScience (CeNS), Ludwig-Maximilians-University, Geschwister-Scholl Platz 1, 80539 Munich, Germany

6. Fraunhofer Research Institution for Microsystems and Solid State Technologies (EMFT), Hansastrasse 27d, 80686 Munich, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Electrochemistry,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acsaelm.0c00099

Reference39 articles.

1. Sheridan, P.; Ma, W.; Lu, W. Pattern recognition with memristor networks. Presented at 2014 IEEE Int. Symposium on Circuits and Systems (ISCAS); IEEE: Melbourne, Australia, July 2014 .

2. Review of memristor devices in neuromorphic computing: materials sciences and device challenges

3. Memristor Models for Machine Learning

4. Neuromorphic computing using non-volatile memory

5. Neuromorphic, Digital, and Quantum Computation With Memory Circuit Elements

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