Physics-informed neural networks for reacting flows: Species reconstruction with finite rate chemistry from sparse and noisy velocity measurements
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Autori:
Fabio Frohberg; Pablo Kandel; Abdulla Ghani
Pubblicato in:
Proceedings of the Combustion Institute, 2025, ISSN 1873-2704
Editore:
Elsevier
DOI:
10.1016/J.PROCI.2025.105957
From abstraction to design: Interpretable tree-based machine learning for stable thermoacoustic system layout
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Autori:
Maria Kuznetsova; Abdulla Ghani
Pubblicato in:
Proceedings of the Combustion Institute, 2024, ISSN 1873-2704
Editore:
Elsevier
DOI:
10.14279/DEPOSITONCE-21306
A novel method for stable thermoacoustic system design based on exceptional points - Part I: Conceptualization
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Autori:
Mario Casel ; Abdulla Ghani
Pubblicato in:
Combustion and Flame, 2024, ISSN 1556-2921
Editore:
Elsevier
DOI:
10.1016/J.COMBUSTFLAME.2024.113559
A novel method for stable thermoacoustic system design based on exceptional points - Part II: Application to laminar and turbulent flame configurations
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Autori:
Mario Casel ; Abdulla Ghani
Pubblicato in:
Combustion and Flame, 2024, ISSN 1556-2921
Editore:
Elsevier
DOI:
10.1016/J.COMBUSTFLAME.2024.113558
