Participations à des congrès et colloques internationaux (147)
  1. 9. Dave, H., Cotteleer, L., & Parente, A. (2023). Physics-Informed Machine Learning for Proper Orthogonal Decomposition (POD) based Reduced-Order Modelling (ROM) of Parametric, Partial Differential Equations (PDEs). Abstract session presented at
  2. 10. Zdybał, K., Parente, A., & Sutherland, J. C. (2023). Reduced-order modeling of reacting flows with a regression-aware autoencoder. Paper session presented at 13th US National Combustion Meeting (College Station, Texas, US).
  3. 11. Iavarone, S., Pequin, A., Swaminathan, N., & Parente, A. (2023). A data-driven, physics-informed framework for sub-grid combustion closure using artificial neural network. Paper session presented at 12th Mediterranean Combustion Symposium (23-26 January 2023: Luxor, Egypt).
  4. 12. Pequin, A., Iavarone, S., Malpica Galassi, R., & Parente, A. (2023). Supervised clustering for optimal chemical time scales in the partially stirred reactor model. Paper session presented at 12th Mediterranean Combustion Symposium (23–26 January 2023: Luxor, Egypt).
  5. 13. Da Silva Machado De Freitas, R., Pequin, A., Malpica Galassi, R., & Parente, A. (2022). Enhancement of turbulence combustion models via machine learning. Abstract session presented at International Conference on Numerical Combustion(18th: 8 May to 11 May 2022: San Diego, United States of America)
  6. 14. Zdybał, K., Armstrong, E., Sutherland, J. C., & Parente, A. (2022). Cost function for assessing the quality of low-dimensional manifolds. Abstract session presented at SIAM Conference on Mathematics of Data Science (MDS22)(September 26 - 30, 2022: San Diego, CA, USA)
  7. 15. Zdybal, K., Armstrong, E., Parente, A., & Sutherland, J. (2021). PCAfold: Python software to generate, analyze and improve PCA-derived low-dimensional manifolds. Poster présenté à la conférence Combura Symposium 2021 (2021-11-10: Soesterberg, the Netherlands).
  8. 16. Zdybal, K., Sutherland, J., & Parente, A. (2021). Manifold-informed state vector subset for reduced-order modeling. Abstract session presented at Combura Symposium 2021(2021-11-10: Soesterberg, The Netherlands)
  9. 17. Procacci, A., Kamal, M. M., Dave, H., Coussement, A., Parente, A., & Swaminathan, N. (2021). Correlating OH and OH* in Nonpremixed MILD Combustion using RANS and DNS datasets. Poster présenté à la conférence European Combustion Meeting 2021 (14/04/2021: Naples).
  10. 18. Iavarone, S., Pequin, A., Chen, Z. X., Doan, N. A. K., Swaminathan, N., & Parente, A. (2021). An a priori assessment of the Partially Stirred Reactor (PaSR) model for MILD combustion. Paper session presented at 38th International Symposium on Combustion (24-29 January 2021: Adelaide, Australia).
  11. 19. Amaduzzi, R., Ferrarotti, M., & Parente, A. (2019). Evaluation of Hydrogen-Enrichment of Methane Combustion in a Quasi-Industrial MILD Combustion Chamber. Evaluation of Hydrogen-Enrichment of Methane Combustion in a Quasi-Industrial MILD Combustion Chamber Abstract session presented at International Conference on Energy for a Clean Environment(14th: 8-12/09/2019: Funchal, Madeira, Portugal)
  12. 20. Pequin, A., Li, Z., Cuoci, A., & Parente, A. (2019). Assessment of Partially Stirred Reactor model for highly turbulent jet flames. Abstract session presented at 14th International Conference on Energy for a Clean Environment(2019-09-08/12: Funchal, Madeira, Portugal)
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