(Invited) Charge Transport Limitations to the Power Performance of LiNi0.5Mn0.3Co0.2O2 Composite Electrodes with Carbon Nanotubes

2020 ◽  
Vol 97 (7) ◽  
pp. 89-100
Author(s):  
Sacris Jeru Tambio ◽  
Nicolas Besnard ◽  
Michaël Deschamps ◽  
Bernard Lestriez
Keyword(s):  
Carbon Nanotubes ◽  
Charge Transport ◽  
Composite Electrodes ◽  
Power Performance

scholarly journals Charge Transport Limitations to the Power Performance of LiNi0.5Mn0.3Co0.2O2 Composite Electrodes with Carbon Nanotubes

2021 ◽  
Author(s):  
Sacris Jeru Tambio ◽  
Hélène Roberge ◽  
Jianhan Xiong ◽  
Patrick Soudan ◽  
Nicolas Besnard ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
Charge Transport ◽  
Composite Electrodes ◽  
Power Performance

(Invited) Charge Transport Limitations to the Power Performance of LiNi0.5Mn0.3Co0.2O2 Composite Electrodes

2020 ◽  
Vol MA2020-01 (2) ◽  
pp. 147-147
Author(s):  
Sacris Jeru Tambio ◽  
François Cadiou ◽  
Anshuman Agrawal ◽  
Olivier Dubrunfaut ◽  
Jean-Claude Badot ◽  
...  
Keyword(s):  
Charge Transport ◽  
Composite Electrodes ◽  
Power Performance

scholarly journals Charge transport in DNA nanowires connected to carbon nanotubes

2015 ◽  
Vol 92 (7) ◽  
Author(s):  
Bikan Tan ◽  
Miroslav Hodak ◽  
Wenchang Lu ◽  
J. Bernholc
Keyword(s):  
Carbon Nanotubes ◽  
Charge Transport

Carbon nanotubes as the effective charge transport pathways for planar perovskite photodetector

2018 ◽  
Vol 59 ◽  
pp. 156-163 ◽  
Author(s):  
Wei-Long Xu ◽  
Meng-Si Niu ◽  
Xiao-Yu Yang ◽  
Jin Xiao ◽  
Hong-Chun Yuan ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
Charge Transport ◽  
Effective Charge ◽  
Transport Pathways

Power performance of BFO-graphene composite electrodes based supercapacitor

2018 ◽  
Vol 6 (2) ◽  
pp. 025054 ◽  
Author(s):  
Ankur Soam ◽  
C Mahender ◽  
Rahul Kumar ◽  
Mamraj Singh
Keyword(s):  
Composite Electrodes ◽  
Power Performance ◽  
Graphene Composite

Effect of the Chemical Functionalization on Charge Transport in Carbon Nanotubes at the Mesoscopic Scale

Nano Letters ◽  
2009 ◽  
Vol 9 (3) ◽  
pp. 940-944 ◽  
Author(s):  
Alejandro López-Bezanilla ◽  
François Triozon ◽  
Sylvain Latil ◽  
X. Blase ◽  
Stephan Roche
Keyword(s):  
Carbon Nanotubes ◽  
Charge Transport ◽  
Mesoscopic Scale ◽  
Chemical Functionalization

Binder-free CoMn2O4/carbon nanotubes composite electrodes for high-performance asymmetric supercapacitor

2021 ◽  
pp. 163231
Author(s):  
Chia-En Hsieh ◽  
Ching Chang ◽  
Shivam Gupta ◽  
Chung-Hsuan Hsiao ◽  
Chi-Young Lee ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
High Performance ◽  
Asymmetric Supercapacitor ◽  
Composite Electrodes ◽  
Binder Free

Conductive Probe Microscopy Investigation of Electrical and Charge Transport in Advanced Carbon Nanotubes and Nanofibers-Polymer Nanocomposites

2014 ◽  
pp. 343-375
Author(s):  
Tewfik Souier
Keyword(s):  
Carbon Nanotubes ◽  
Charge Transport ◽  
Electrostatic Force ◽  
Three Dimensional ◽  
Current Sensing ◽  
Probe Microscopy ◽  
Force Microscopy ◽  
Three Dimensional Representation ◽  
Microscopy Investigation

In this chapter, the main scanning probe microscopy-based methods to measure the transport properties in advanced polymer-Carbon Nanotubes (CNT) nanocomposites are presented. The two major approaches to investigate the electrical and charge transport (i.e., Electrostatic Force Microscopy [EFM] and Current-Sensing Atomic Force Microscopy [CS-AFM]) are illustrated, starting from their basic principles. First, the authors show how the EFM-related techniques can be used to provide, at high spatial resolution, a three-dimensional representation CNT networks underneath the surface. This allows the studying of the role of nanoscopic features such as CNTs, CNT-CNT direct contact, and polymer-CNT junctions in determining the overall composite properties. Complementary, CS-AFM can bring insight into the transport mechanism by imaging the spatial distribution of currents percolation paths within the nanocomposite. Finally, the authors show how the CS-AFM can be used to quantify the surface/bulk percolation probability and the nanoscopic electrical conductivity, which allows one to predict the macroscopic percolation model.

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