Machine Learning and Its Application to Reacting Flows : : ML and Combustion / / edited by Nedunchezhian Swaminathan, Alessandro Parente.
This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows. These two fields, ML and turbulent combustion, have large bo...
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Superior document: | Lecture Notes in Energy, 44 |
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Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2023. |
Year of Publication: | 2023 |
Edition: | 1st ed. 2023. |
Language: | English |
Series: | Lecture Notes in Energy,
44 |
Physical Description: | 1 electronic resource (346 p.) |
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