Material and Performance Optimisation for Syngas Preparation Using Artificial Intelligence (AI)-Based Machine Learning (ML)

Material and Performance Optimisation for Syngas Preparation Using Artificial Intelligence (AI)-Based Machine Learning (ML)

Working towards a more sustainable future with zero emissions, the International Future Laboratory for Hydrogen Economy at the Technical University of Munich (TUM) exhibits concerted efforts across various hydrogen technologies. The current research focuses on pre-reforming processes for high-qualit...

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Bibliographic Details
Main Author: Murphy M. Peksen
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Hydrogen
Subjects:
hydrogen
machine learning
sustainability
artificial intelligence
solid oxide cell
r-SOC
Online Access:https://www.mdpi.com/2673-4141/4/3/32

Internet

https://www.mdpi.com/2673-4141/4/3/32

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