Parties d'ouvrages collectifs (2)
  1. 1. Zdybal, K., D'Alessio, G., Aversano, G., Malik, M. R., Coussement, A., Sutherland, J. C., & Parente, A. (2023). Advancing Reacting Flow Simulations with Data-Driven Models. In Advancing Reacting Flow Simulations with Data-Driven Models (1 ed., pp. 304 - 329). Cambridge University Press. doi:https://doi.org/10.1017/9781108896214.022
  2. 2. Zdybal, K., Malik, M. R., Coussement, A., Sutherland, J. C., & Parente, A. (2023). Reduced-Order Modeling of Reacting Flows Using Data-Driven Approaches. In N. Swaminathan & A. Parente (Eds.), Reduced-Order Modeling of Reacting Flows Using Data-Driven Approaches. Cham: Springer. doi:https://doi.org/10.1007/978-3-031-16248-0_9
    3.   Articles dans des revues avec comité de lecture (61)
  3. 1. Novelli, C., Procacci, A., Giuntini, L., Piscopo, A., Coussement, A., & Parente, A. (2026). Towards real-time digital twins of combustion systems via soft-clustered local reduced-order models. Applications in Energy and Combustion Science, 25, 100466. doi:10.1016/j.jaecs.2026.100466
  4. 2. Jamshidiha, M., Kamal, M. M., Giuntini, L., Lubrano Lavadera, M., Coussement, A., & Parente, A. (2025). Comparative effects of N2 and CO2 fuel dilution on NOx suppression in non-premixed hydrogen combustion. Applied thermal engineering, 288.
  5. 3. Rahmani, E., Cid Rodríguez, N., Kamal, M. M., Coussement, A., Parente, A., & Lubrano Lavadera, M. (2025). The influence of MILD-to-flame transition on stabilization, reactive structures, and emissions of NH3/H2 mixtures in a semi-industrial furnace. Combustion and flame, 284, 114687. doi:10.1016/j.combustflame.2025.114687
  6. 4. Procacci, A., Iavarone, S., Coussement, A., & Parente, A. (2025). Stochastic reduced-order modeling for the forecast of noisy dynamical systems. Proceedings of the Combustion Institute, 41, 105981.
  7. 5. Cafiero, M., Mustafa Kamal, M., Sharma, S., Nguyen, P. D., Nowakowska, M., Coussement, A., & Parente, A. (2025). Combustion characterization of benzene-doped, hydrogen-rich coke oven gas surrogate mixtures: H2/CH4/CO/N2/CO2. Fuel processing technology, 276, 108241. doi:10.1016/j.fuproc.2025.108241
  8. 6. Biswal, P., Avdijaj, J., Parente, A., & Coussement, A. (2025). Physics informed neural networks to solve radiative transfer equation in absorbing-scattering media. Journal of quantitative spectroscopy & radiative transfer, 344, 109509. doi:10.1016/j.jqsrt.2025.109509
  9. 7. Hafeez, M. A., Procacci, A., Coussement, A., & Parente, A. (2025). Constrained reduced-order modeling of reacting flows using bounded Gaussian process likelihoods: application to a furnace operating under MILD conditions. Proceedings of the Combustion Institute, 41, 105846. doi:10.1016/j.proci.2025.105846
  10. 8. Hafeez, M. A., Procacci, A., Coussement, A., & Parente, A. (2025). Constrained reduced-order modeling using bounded Gaussian processes for physically consistent reacting flow predictions. Energy and AI, 21, 100554. doi:10.1016/j.egyai.2025.100554
  11. 9. Cafiero, M., Kamal, M. M., Sharma, S., Nguyen, P. D., Nowakowska, M., Coussement, A., & Parente, A. (2025). Combustion characterization of benzene-doped, hydrogen-rich coke oven gas surrogate mixtures: H2/CH4/CO/N2/CO2. Fuel processing technology, 276.
  12. 10. Piscopo, A., Giuntini, L., Novelli, C., De Paepe, W., Coussement, A., & Parente, A. (2025). Burning ammonia–hydrogen mixtures in a staged combustor with high efficiency and low pollutant emissions. International journal of hydrogen energy, 118, 343-355. doi:10.1016/j.ijhydene.2025.03.099
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