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Tommaso Baffetti

1 paper hereh-index 00 citations0 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • physics.flu-dyn1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

physics.flu-dyn2026

Uncovering flame physics with machine learning: application to the reaction rate in hydrogen flames

Antonio Attili, Ludovico Nista, Tommaso Baffetti +6

Convolutional Neural Networks (CNNs) are used as analytical tools to investigate the relationship between the progress variable field and the local chemical source term in lean pre…

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