Development of nano fiber MnO2 thin film electrode and cyclic voltammetry behavior modeling using artificial neural network for supercapacitor application

2015 ◽  
Vol 36 ◽  
pp. 43-48 ◽  
Author(s):  
T.D. Dongale ◽  
P.R. Jadhav ◽  
G.J. Navathe ◽  
J.H. Kim ◽  
M.M. Karanjkar ◽  
...  
Keyword(s):  
Neural Network ◽  
Thin Film ◽  
Artificial Neural Network ◽  
Cyclic Voltammetry ◽  
Behavior Modeling ◽  
Film Electrode ◽  
Thin Film Electrode ◽  
Supercapacitor Application ◽  
Nano Fiber ◽  
Artificial Neural

Cyclic voltammetry behavior modeling of fabricated nanostructured Ni(OH)2 electrode using artificial neural network for supercapacitor application

2020 ◽  
Vol 234 (13) ◽  
pp. 2563-2568 ◽  
Author(s):  
PE Lokhande ◽  
US Chavan
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Cyclic Voltammetry ◽  
Behavior Modeling ◽  
Cyclic Behavior ◽  
Supercapacitor Application ◽  
Prepared Material ◽  
Artificial Neural Network Analysis ◽  
Binder Free ◽  
Artificial Neural

In this article, we demonstrate the fabrication of binder-free nanostructured Ni(OH)2 electrode for supercapacitor by the chemical bath deposition method in addition to modeling of cyclic voltammetry using artificial neural network. The prepared material acted as binder-free electrode that facilitated increase in the capacitance value. The electrochemical study demonstrated the maximum specific capacitance of 958 F·g−1. Further, cyclic behavior of the prepared material was investigated by modeling via artificial neural network, which is based on the multilayer perception concept. It is observed that results obtained from artificial neural network analysis is analogous to the experimental value with an error rate of 0.14%.

Chemical synthesis of cobalt oxide thin film electrode for supercapacitor application

2010 ◽  
Vol 160 (11-12) ◽  
pp. 1299-1302 ◽  
Author(s):  
S.G. Kandalkar ◽  
D.S. Dhawale ◽  
Chang-Koo Kim ◽  
C.D. Lokhande
Keyword(s):  
Thin Film ◽  
Chemical Synthesis ◽  
Cobalt Oxide ◽  
Oxide Thin Film ◽  
Film Electrode ◽  
Thin Film Electrode ◽  
Supercapacitor Application

An Artificial Neural Network at Device Level Using Simplified Architecture and Thin-Film Transistors

2010 ◽  
Vol 57 (10) ◽  
pp. 2744-2750 ◽  
Author(s):  
Tomohiro Kasakawa ◽  
Hiroki Tabata ◽  
Ryo Onodera ◽  
Hiroki Kojima ◽  
Mutsumi Kimura ◽  
...  
Keyword(s):  
Neural Network ◽  
Thin Film ◽  
Artificial Neural Network ◽  
Thin Film Transistors ◽  
Artificial Neural
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