A multi-fidelity framework for developing digital twins of combustion systems from heterogeneous data: Application to ammonia combustion
(2024) Proceedings of the Combustion Institute — Vol. 40, n° 1, p. 105608 (2024)
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Özden, A., Savarese, M., Giuntini, L., Procacci, A., Malpica Galassi, R., Coussement, A., Contino, F., & Parente, A. (2024). A multi-fidelity framework for developing digital twins of combustion systems from heterogeneous data: Application to ammonia combustion. Proceedings of the Combustion Institute, 40(1), 105608. https://doi.org/10.1016/j.proci.2024.105608 (Original work published 2024)