Contributions to collective works (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.   Peer-reviewed journal articles (36)
  3. 1. Piscopo, A., Iavarone, S., Savarese, M., Riis, M., Crawford, B., Bessette, D., Orsino, S., Coussement, A., De Paepe, W., & Parente, A. (2024). Mixing time scale analysis of the Partially Stirred Reactor model for high-speed turbulent combustion of hydrogen in vitiated air. Acta astronautica. doi:10.1016/j.actaastro.2024.02.009
  4. 2. Procacci, A., Donato, L., Amaduzzi, R., Galletti, C., Coussement, A., & Parente, A. (2023). Parameter Estimation Using a Gaussian Process Regression-Based Reduced-Order Model and Sparse Sensing: Application to a Methane/Air Lifted Jet Flame. Flow, turbulence and combustion. doi:10.1007/s10494-023-00446-x
  5. 3. Zdybal, K., D'Alessio, G., Attili, A., Coussement, A., Sutherland, J. C., & Parente, A. (2023). Local manifold learning and its link to domain-based physics knowledge. Applications in Energy and Combustion Science, 100131. doi:10.1016/j.jaecs.2023.100131
  6. 4. Procacci, A., Cafiero, M., Sharma, S., Kamal, M. M., Coussement, A., & Parente, A. (2023). Digital Twin for Experimental Data Fusion Applied to a Semi-Industrial Furnace Fed with H2-Rich Fuel Mixtures. Energies. doi:10.3390/en16020662
  7. 5. Ispir, A. C., Zdybal, K., Saracoglu, B., Magin, T., Parente, A., & Coussement, A. (2022). Reduced-order modeling of supersonic fuel–air mixing in a multi-strut injection scramjet engine using machine learning techniques. Acta astronautica, 202, 564-584. doi:10.1016/j.actaastro.2022.11.013
  8. 6. Sharma, S., Savarese, M., Coussement, A., & Parente, A. (2022). Decarbonisation potential of dimethyl ether/hydrogen mixtures in a flameless furnace: Reactive structures and pollutant emissions. International journal of hydrogen energy, 48, 2401-2427. doi:https://doi.org/10.1016/j.ijhydene.2022.10.104
  9. 7. Procacci, A., Kamal, M. M., Mendez, M., Hochgreb, S., Coussement, A., & Parente, A. (2022). Multi-Scale Proper Orthogonal Decomposition analysis of instabilities in swirled and stratified flames. Physics of fluids. doi:10.1063/5.0127956
  10. 8. Procacci, A., Amaduzzi, R., Coussement, A., & Parente, A. (2022). Adaptive Digital Twins of combustion systems using sparse sensing strategies. Proceedings of the Combustion Institute. doi:https://doi.org/10.1016/j.proci.2022.07.029
  11. 9. Obando Vega, P. J., Coussement, A., Sadiki, A., & Parente, A. (2022). Non-Premixed Filtered Tabulated Chemistry for LES: Evaluation on Sandia Flames D and E. Fuels.
  12. 10. Cafiero, M., Dias, V., Iavarone, S., Coussement, A., Jeanmart, H., & Parente, A. (2022). Investigation of temperature correction methods for fine wire thermocouple losses in low pressure flat premixed laminar flames. Combustion and flame, 244, 112248. doi:10.1016/j.combustflame.2022.112248
  13. 11. Tipler, S., D'Alessio, G., Van Haute, Q., Parente, A., Contino, F., & Coussement, A. (2022). Predicting octane numbers relying on principal component analysis and artificial neural network. Computers & chemical engineering, 161, 107784. doi:10.1016/j.compchemeng.2022.107784
  14. 12. Malik, M. R., Khamedov, R., Hernández Pérez, F. F., Coussement, A., Parente, A., & Im, H. H. (2022). Dimensionality reduction and unsupervised classification for high-fidelity reacting flow simulations. Proceedings of the Combustion Institute. doi:10.1016/j.proci.2022.06.017
  15. 13. Cafiero, M., Dias, V., Stagni, A., Nguyen, P. D., Nowakowska, M., Coussement, A., Jeanmart, H., & Parente, A. (2021). The effect of benzene on the structure of low-pressure premixed H2/CH4/CO-air flames and related NO formation at different equivalence ratios. Combustion and flame, 232, 111510. doi:10.1016/j.combustflame.2021.111510
  16. 14. Aversano, G., D'Alessio, G., Coussement, A., Contino, F., & Parente, A. (2021). Combination of polynomial chaos and Kriging for reduced-order model of reacting flow applications. Results in Engineering, 10, 100223. doi:10.1016/j.rineng.2021.100223
  17. 15. Obando Vega, P. J., Coussement, A., Sadiki, A., & Parente, A. (2021). Non-Premixed Filtered Tabulated Chemistry: Filtered Flame Modeling of Diffusion Flames. Fuels, 2(2), 87-107. doi:10.3390/fuels2020006
  18. 16. Armengol, J. M., Vicquelin, R., Coussement, A., Santos, R., & Gicquel, O. (2020). Study of turbulence-radiation interactions in a heated jet using direct numerical simulation coupled to a non-gray Monte-Carlo solver. International Journal of Heat and Mass Transfer, 162, 120297. doi:10.1016/j.ijheatmasstransfer.2020.120297
  19. 17. Tipler, S., Fürst, M., Van Haute, Q., Contino, F., & Coussement, A. (2020). Prediction of the octane number: a Bayesian pseudo-component method. Energy & fuels, 34(10), 12598-12605.
  20. 18. Malik, M. R., Obando Vega, P. J., Coussement, A., & Parente, A. (2020). Combustion modeling using Principal Component Analysis: A posteriori validation on Sandia flames D, E and F. Proceedings of the Combustion Institute. doi:10.1016/j.proci.2020.07.014
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