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

Materials Science in Semiconductor Processing

Volumn 36, Issue , 2015, Pages 43-48

  Dongale, T D ^a   Jadhav, P R ^a   Navathe, G J ^a   Kim, J H ^b   Karanjkar, M M ^c   Patil, P S ^a  

^a SHIVAJI UNIVERSITY   (India)

^b Chonnam National University   (South Korea)

^c Vivekanand College Kolhapur   (India)

Author keywords

Artificial neural network (ANN); MnO2; Supercapacitor; Thin films

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; CAPACITORS; ELECTROLYTIC CAPACITORS; FILM PREPARATION; MANGANESE OXIDE; NANOFIBERS; NEURAL NETWORKS; SCANNING ELECTRON MICROSCOPY; STAINLESS STEEL; STEEL FIBERS; THIN FILMS;

ELECTROCHEMICAL CHARACTERIZATIONS; FIELD EMISSION SCANNING ELECTRON MICROSCOPES; MNO2; POTENTIODYNAMIC TECHNIQUE; SIGMOID ACTIVATION FUNCTION; STAINLESS STEEL SUBSTRATES; SUPER CAPACITOR; SUPERCAPACITOR APPLICATION;

CYCLIC VOLTAMMETRY;

EID: 84961288516     PISSN: 13698001     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mssp.2015.02.084     Document Type: Article

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