Memristive Devices with Highly Repeatable Analog States Boosted by Graphene Quantum Dots-Reference-Cited by-同舟云学术

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Memristive Devices with Highly Repeatable Analog States Boosted by Graphene Quantum Dots

Published:2017-03-15 Issue:20 Volume:13 Page:1603435
ISSN:1613-6810
Container-title:Small
language:en
Short-container-title:Small

Author:

Wang Changhong¹,He Wei¹,Tong Yi¹,Zhang Yishu¹,Huang Kejie¹,Song Li¹,Zhong Shuai¹,Ganeshkumar Rajasekaran¹,Zhao Rong¹

Affiliation:

1. Engineering Product Development; Singapore University of Technology and Design (SUTD); 8 Somapah Road 487372 Singapore

Funder

Ministry of Education - Singapore

Singapore University of Technology and Design

Publisher

Wiley

Subject

Biomaterials,Biotechnology,General Materials Science,General Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/smll.201603435/fullpdf

Reference50 articles.

1. The missing memristor found

2. Deep learning

3. Human-level control through deep reinforcement learning

4. Short-term plasticity and long-term potentiation mimicked in single inorganic synapses

5. Plasticity in memristive devices for spiking neural networks

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