Imaging Reconfigurable Molecular Concentration on a Graphene Field-Effect Transistor-Reference-Cited by-同舟云学术

Imaging Reconfigurable Molecular Concentration on a Graphene Field-Effect Transistor

Published:2021-10-15 Issue:20 Volume:21 Page:8770-8776
ISSN:1530-6984
Container-title:Nano Letters
language:en
Short-container-title:Nano Lett.

Author:

Liou Franklin¹²³,Tsai Hsin-Zon¹²,Aikawa Andrew S.¹²,Natividad Kyler C.¹,Tang Eric¹,Ha Ethan¹,Riss Alexander⁴,Watanabe Kenji⁵^ORCID,Taniguchi Takashi⁶^ORCID,Lischner Johannes⁷^ORCID,Zettl Alex¹²³,Crommie Michael F.¹²³^ORCID

Affiliation:

1. Department of Physics, University of California, Berkeley, California 94720, United States

2. Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States

3. Kavli Energy NanoSciences Institute at the University of California, Berkeley, California 94720, United States

4. Physics Department E20, Technical University of Munich, James-Franck-Straße 1, D-85748 Garching, Germany

5. Research Center for Functional Materials, National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044, Japan

6. International Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044, Japan

7. Department of Materials, Imperial College London, Prince Consort Road, London SW7 2BB, United Kingdom

Funder

Ministry of Education, Culture, Sports, Science and Technology

Basic Energy Sciences

Deutsche Forschungsgemeinschaft

Japan Society for the Promotion of Science

Kavli Foundation

Division of Materials Research

Publisher

American Chemical Society (ACS)

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science,General Chemistry,Bioengineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.nanolett.1c03039

Reference24 articles.

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5. Artificial Synapses: Low-Power, Electrochemically Tunable Graphene Synapses for Neuromorphic Computing (Adv. Mater. 36/2018)

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