Articles dans des revues avec comité de lecture (158)
  1. 46. Parente, A., & de Joannon, M. (2021). Editorial: MILD Combustion: Modelling Challenges, Experimental Configurations, and Diagnostic Tools. Frontiers in mechanical engineering, 7, 726633. doi:10.3389/fmech.2021.726633
  2. 47. Ferrarotti, M., De Paepe, W., & Parente, A. (2021). Reactive structures and NOx emissions of methane/hydrogen mixtures in flameless combustion. International journal of hydrogen energy. doi:10.1016/j.ijhydene.2021.07.161
  3. 48. 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
  4. 49. Fermo, P., Artíñano, B., De Gennaro, G., Pantaleo, A. M., Parente, A., Battaglia, F., Colicino, E., Di Tanna, G. L., Goncalves da Silva Junior, A., Pereira, I. G., Garcia, G. S., Garcia Goncalves, L. M., Comite, V., & Miani, A. (2021). Improving indoor air quality through an air purifier able to reduce aerosol particulate matter (PM) and volatile organic compounds (VOCs): Experimental results. Environmental research, 197, 111131. doi:10.1016/j.envres.2021.111131
  5. 50. 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
  6. 51. 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
  7. 52. Verleysen, K., Parente, A., & Contino, F. (2021). How sensitive is a dynamic ammonia synthesis process? Global sensitivity analysis of a dynamic Haber-Bosch process (for flexible seasonal energy storage). Energy, 232, 121016. doi:10.1016/j.energy.2021.121016
  8. 53. D'Alessio, G., Cuoci, A., & Parente, A. (2021). Feature extraction and artificial neural networks for the on-the-fly classification of high-dimensional thermochemical spaces in adaptive-chemistry simulations. Data-Centric Engineering, 2. doi:10.1017/dce.2021.2
  9. 54. Chen, Z. Z., Iavarone, S., Ghiasi, G., Kannan, V., D'Alessio, G., Parente, A., & Swaminathan, N. (2021). Application of machine learning for filtered density function closure in MILD combustion. Combustion and flame, 225, 160-179. doi:10.1016/j.combustflame.2020.10.043
  10. 55. Fürst, M., Bertolino, A., Cuoci, A., Faravelli, T., Frassoldati, A., & Parente, A. (2021). OptiSMOKE++: A toolbox for optimization of chemical kinetic mechanisms. Computer physics communications, 264, 107940. doi:10.1016/j.cpc.2021.107940
  11. 56. Bertolino, A., Fürst, M., Stagni, A., Frassoldati, A., Pelucchi, M., Cavallotti, C., Faravelli, T., & Parente, A. (2021). An evolutionary, data-driven approach for mechanism optimization: theory and application to ammonia combustion. Combustion and flame, 229, 111366. doi:10.1016/j.combustflame.2021.02.012
  12. 57. Amaduzzi, R., Ferrarotti, M., & Parente, A. (2021). Strategies for Hydrogen-Enriched Methane Flameless Combustion in a Quasi-Industrial Furnace. Frontiers in energy research, 8, 590300. doi:10.3389/fenrg.2020.590300
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