Performance Analysis of Anode-Supported Solid Oxide Fuel Cells: A Machine Learning Approach

Performance Analysis of Anode-Supported Solid Oxide Fuel Cells: A Machine Learning Approach

Prior to the long-term utilization of solid oxide fuel cell (SOFC), one of the most remarkable electrochemical energy conversion devices, a variety of difficult experimental validation procedures is required, so it would be time-consuming and steep to predict the applicability of these devices in th...

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Bibliographic Details
Main Authors: Mohammad Hossein Golbabaei, Mohammadreza Saeidi Varnoosfaderani, Arsalan Zare, Hirad Salari, Farshid Hemmati, Hamid Abdoli, Bejan Hamawandi
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Materials
Subjects:
solid oxide fuel cell (SOFC)
machine learning
neural network
gaussian process
SOFC performance
Online Access:https://www.mdpi.com/1996-1944/15/21/7760

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