UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 1
January-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREK06044


Registration ID:
305171

Page Number

189-192

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Title

An Optimized ANN Model For Predicting The Efficiency Of Perovskite Solar Cell Using MATLAB

Abstract

The amalgamation of material science genome and algorithmic development has elevated the evolution of material science. Traditional methods of material discovery, development and deployment takes a long time frame. Therefore, machine learning models which primarily learns from past data helps in catering to the inherit limitations of conventional methods used in material science. Hence we demonstrate the potential of deep learning via Artificial Neural Network (ANN) which utilizes radical features to predict the efficiency of perovskite solar cell. Dataset was collected varies technical papers. The trained model then predicts the efficiency on unseen perovskite data. This paper also finds insights of challenges faced with ANN and how it could be improvised in the near future.

Key Words

Neuron, Perovskite layer, ANN, Perovskite solar cell, Power Conversion Efficiency, Over fitting.

Cite This Article

"An Optimized ANN Model For Predicting The Efficiency Of Perovskite Solar Cell Using MATLAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.189-192, January-2021, Available :http://www.jetir.org/papers/JETIREK06044.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An Optimized ANN Model For Predicting The Efficiency Of Perovskite Solar Cell Using MATLAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp189-192, January-2021, Available at : http://www.jetir.org/papers/JETIREK06044.pdf

Publication Details

Published Paper ID: JETIREK06044
Registration ID: 305171
Published In: Volume 8 | Issue 1 | Year January-2021
DOI (Digital Object Identifier):
Page No: 189-192
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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