scholarly journals Vanadium-oxide-based electrode materials for Li-ion batteries

2017 ◽  
Author(s):  
Peng Liu
2020 ◽  
Vol 12 (1) ◽  
pp. 68-74 ◽  
Author(s):  
O. Ya. Berezina ◽  
N.P. Markova ◽  
E.N. Kolobova ◽  
A.L. Pergament ◽  
D.S. Yakovleva ◽  
...  

Aim: Vanadium oxide nanofibers have been manufactured by the sol–gel electrospinning method followed by the thermal treatment in air and argon. Materials and Methods: The samples are characterized by optical, laser confocal and scanning electron microscopy, energy-dispersive X-ray elemental analysis, X-ray diffraction, cyclic voltammetry, and electrical conductivity measurements. Results: The obtained VO2 nanofibers demonstrate the semiconductor-to-metal phase transition. Also, the vanadium pentoxide nanofibers are examined as electrode materials for rechargeable Li-ion batteries.


Author(s):  
Kathryn Holguin ◽  
Motahareh Mohammadiroudbari ◽  
Kaiqiang Qin ◽  
Chao Luo

Na-ion batteries (NIBs) are promising alternatives to Li-ion batteries (LIBs) due to the low cost, abundance, and high sustainability of sodium resources. However, the high performance of inorganic electrode materials...


2019 ◽  
Vol 7 (41) ◽  
pp. 23679-23726 ◽  
Author(s):  
Manoj K. Jangid ◽  
Amartya Mukhopadhyay

Monitoring stress development in electrodes in-situ provides a host of real-time information on electro-chemo-mechanical aspects as functions of SOC and electrochemical potential.


ChemPhysChem ◽  
2014 ◽  
Vol 15 (10) ◽  
pp. 1922-1938 ◽  
Author(s):  
Nicolas Dupré ◽  
Marine Cuisinier ◽  
Jean-Frederic Martin ◽  
Dominique Guyomard

Ionics ◽  
2008 ◽  
Vol 14 (5) ◽  
pp. 371-376 ◽  
Author(s):  
K. Zaghib ◽  
A. Mauger ◽  
F. Gendron ◽  
M. Massot ◽  
C. M. Julien

2021 ◽  
Vol MA2021-02 (3) ◽  
pp. 369-369
Author(s):  
Chenxi Geng ◽  
Dylan Heino ◽  
Nafiseh Zaker ◽  
Nutthaphon Phattharasupakun ◽  
Yulong Liu ◽  
...  

2021 ◽  
Vol MA2021-02 (2) ◽  
pp. 221-221
Author(s):  
Antonin Gajan ◽  
Timothée Lang ◽  
Laure Fillaud ◽  
Julien Demeaux ◽  
Ivan T. Lucas

RSC Advances ◽  
2018 ◽  
Vol 8 (69) ◽  
pp. 39414-39420 ◽  
Author(s):  
Omar Allam ◽  
Byung Woo Cho ◽  
Ki Chul Kim ◽  
Seung Soon Jang

In this study, we utilize a density functional theory-machine learning framework to develop a high-throughput screening method for designing new molecular electrode materials.


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