Postprocessing methods for: Modeling hydrogen flames with physics-informed neural networks

4TU.ResearchData 2026 Dataset Open access

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Authors: Evert Cornelis Bunschoten
DOI: 10.4121/9b4d6419-2f70-4826-b4b6-37ac42bba494
Cited by: 0

Abstract

Post-processing scripts used to produce the figures and calculate performance metrics reported in Chapter 2 titled Modeling hydrogen flames with physics-informed neural networks of the doctoral dissertation of E.Bunschoten titled Consistent data-driven equations of state for reacting and nonideal compressible fluids. The steps needed for post-processing the results are presented in the README file.

Fields of Study & Subjects

Model Reduction and Neural Networks Combustion and flame dynamics Advanced Combustion Engine Technologies

Publication details

Journal / source
4TU.ResearchData
Publication date
30 January 2026
Language
EN
Document type
Dataset