Selecting an appropriate machine-learning model for perovskite solar cell datasets
Abstract Utilizing artificial intelligent based algorithms in solving engineering problems is widely spread nowadays. Herein, this study provides a comprehensive and insightful analysis of the application of machine learning (ML) models to complex datasets in the field of solar cell power conversion...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-09-01
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Series: | Materials for Renewable and Sustainable Energy |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40243-023-00239-2 |