Ferroelectric materials for neuromorphic computing-Reference-Cited by-同舟云学术

Ferroelectric materials for neuromorphic computing

Published:2019-09-01 Issue:9 Volume:7 Page:091109
ISSN:2166-532X
Container-title:APL Materials
language:en
Short-container-title:APL Materials

Author:

Oh S.¹^ORCID,Hwang H.¹^ORCID,Yoo I. K.¹^ORCID

Affiliation:

1. Center for Single Atom-based Semiconductor Device and Department of Material Science and Engineering, Pohang University of Science and Technology, Pohang 37673, South Korea

Funder

National Research Foundation of Korea

Publisher

AIP Publishing

Subject

General Engineering,General Materials Science

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5108562

Reference73 articles.

1. L. T. Clark, R. O. Grondin, and S. K. Dey, in First IEEE International Conference on Artificial Neural Networks (IEEE, 1989), pp. 47–51.

2. Proposal of Adaptive-Learning Neuron Circuits with Ferroelectric Analog-Memory Weights

3. Partial Switching Kinetics of FerroelectricPbZrxTi1-xO3Thin Films Prepared by Sol-Gel Technique

4. Y. Kaneko, Y. Nishitani, M. Ueda, and A. Tsujimura, in Symposium on VLSI Technology (IEEE, 2013), pp. T238–T239.

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