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Title: Computational insight into the capacitive performance of graphene edge planes

Authors:
; ; ; ORCiD logo
Publication Date:
Research Org.:
Energy Frontier Research Centers (EFRC) (United States). Fluid Interface Reactions, Structures and Transport Center (FIRST)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1388622
DOE Contract Number:  
ERKCC61
Resource Type:
Journal Article
Resource Relation:
Journal Name: Carbon; Journal Volume: 116; Journal Issue: C; Related Information: FIRST partners with Oak Ridge National Laboratory (lead); Argonne National Laboratory; Drexel University; Georgia State University; Northwestern University; Pennsylvania State University; Suffolk University; Vanderbilt University; University of Virginia
Country of Publication:
United States
Language:
English
Subject:
catalysis (heterogeneous), solar (fuels), energy storage (including batteries and capacitors), hydrogen and fuel cells, electrodes - solar, mechanical behavior, charge transport, materials and chemistry by design, synthesis (novel materials)

Citation Formats

Zhan, Cheng, Zhang, Yu, Cummings, Peter T., and Jiang, De-en. Computational insight into the capacitive performance of graphene edge planes. United States: N. p., 2017. Web. doi:10.1016/j.carbon.2017.01.104.
Zhan, Cheng, Zhang, Yu, Cummings, Peter T., & Jiang, De-en. Computational insight into the capacitive performance of graphene edge planes. United States. doi:10.1016/j.carbon.2017.01.104.
Zhan, Cheng, Zhang, Yu, Cummings, Peter T., and Jiang, De-en. Mon . "Computational insight into the capacitive performance of graphene edge planes". United States. doi:10.1016/j.carbon.2017.01.104.
@article{osti_1388622,
title = {Computational insight into the capacitive performance of graphene edge planes},
author = {Zhan, Cheng and Zhang, Yu and Cummings, Peter T. and Jiang, De-en},
abstractNote = {},
doi = {10.1016/j.carbon.2017.01.104},
journal = {Carbon},
number = C,
volume = 116,
place = {United States},
year = {Mon May 01 00:00:00 EDT 2017},
month = {Mon May 01 00:00:00 EDT 2017}
}