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Title: Prediction and Characterization of MXene Nanosheet Anodes for Non-Lithium-Ion Batteries

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Energy Frontier Research Centers (EFRC); Fluid Interface Reactions, Structures and Transport Center (FIRST)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1167947
DOE Contract Number:  
ERKCC61
Resource Type:
Journal Article
Journal Name:
ACS Nano
Additional Journal Information:
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

Xie, Y., Dall Agnese, Y., Naguib, M., Gogotsi, Y., Barsoum, M.W., Zhuang, Houlong L., and Kent, P.R.C. Prediction and Characterization of MXene Nanosheet Anodes for Non-Lithium-Ion Batteries. United States: N. p., 2014. Web. doi:10.1021/nn503921j.
Xie, Y., Dall Agnese, Y., Naguib, M., Gogotsi, Y., Barsoum, M.W., Zhuang, Houlong L., & Kent, P.R.C. Prediction and Characterization of MXene Nanosheet Anodes for Non-Lithium-Ion Batteries. United States. doi:10.1021/nn503921j.
Xie, Y., Dall Agnese, Y., Naguib, M., Gogotsi, Y., Barsoum, M.W., Zhuang, Houlong L., and Kent, P.R.C. Tue . "Prediction and Characterization of MXene Nanosheet Anodes for Non-Lithium-Ion Batteries". United States. doi:10.1021/nn503921j.
@article{osti_1167947,
title = {Prediction and Characterization of MXene Nanosheet Anodes for Non-Lithium-Ion Batteries},
author = {Xie, Y. and Dall Agnese, Y. and Naguib, M. and Gogotsi, Y. and Barsoum, M.W. and Zhuang, Houlong L. and Kent, P.R.C.},
abstractNote = {},
doi = {10.1021/nn503921j},
journal = {ACS Nano},
number = ,
volume = ,
place = {United States},
year = {2014},
month = {9}
}