Polyacrylate grafted graphene oxide nanocomposites for biomedical applications-Reference-Cited by-同舟云学术

Polyacrylate grafted graphene oxide nanocomposites for biomedical applications

Published:2020-02-07 Issue:5 Volume:127 Page:054302
ISSN:0021-8979
Container-title:Journal of Applied Physics
language:en
Short-container-title:Journal of Applied Physics

Author:

Ganya Elison S.¹^ORCID,Soin Navneet²^ORCID,Moloi Sabata J.¹,McLaughlin James A.²,Pong W. F.³,Ray Sekhar C.¹^ORCID

Affiliation:

1. Department of Physics, College of Science, Engineering and Technology (CSET), University of South Africa, Private Bag X6, Florida, 1710 Johannesburg, South Africa

2. School of Engineering, Ulster University, Shore Road, Newtownabbey, Belfast BT37 0QB, Northern Ireland, United Kingdom

3. Department of Physics, Tamkang University, Tamsui, 251, Taipei, Taiwan

Funder

National Research Foundation

Publisher

AIP Publishing

Subject

General Physics and Astronomy

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5135572

Reference64 articles.

1. Preparation and characterization of graphene oxide paper

2. Electronic Transport Properties of Individual Chemically Reduced Graphene Oxide Sheets

3. Experimental observation of the quantum Hall effect and Berry's phase in graphene

4. Graphene/Polyurethane Nanocomposites for Improved Gas Barrier and Electrical Conductivity

5. Graphene Oxide Thin Films for Flexible Nonvolatile Memory Applications

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