The project to led to significant contributions in the field of data-enabled computational tools for large-scale processes that were published in scientific journals and presented in international conferences:
P1. Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis, From partial data to out-of-sample parameter and observation estimation with diffusion maps and geometric harmonics, Computers & Chemical Engineering, Volume 178, 2023, 108357, ISSN 0098-1354,
https://doi.org/10.1016/j.compchemeng.2023.108357(odnośnik otworzy się w nowym oknie).
P2. Papavasileiou, P., Koronaki, E. D., Pozzetti, G., Kathrein, M., Czettl, C., Boudouvis, A. G., & Bordas, S. P. (2023). Equation-based and data-driven modeling strategies for industrial coating processes. Computers in Industry, 149, 103938.
P3. Martin-Linares, C. P., Psarellis, Y. M., Karapetsas, G., Koronaki, E. D., & Kevrekidis, I. G. (2023). Physics-agnostic and Physics-infused machine learning for thin films flows: modeling, and predictions from small data. arXiv preprint arXiv:2301.12508.
P4. Papavasileiou, P., Koronaki, E. D., Pozzetti, G., Kathrein, M., Czettl, C., Boudouvis, A. G., & Bordas, S. P. (2022). An efficient chemistry-enhanced CFD model for the investigation of the rate-limiting mechanisms in industrial Chemical Vapor Deposition reactors. Chemical Engineering Research and Design, 186, 314-325.
C1 P. Papavasileiou, E. D. Koronaki, G. Pozzetti, M. Kathrein, C. Czettl, A. G. Boudouvis, S. P. A. Bordas, The challenges in the implementation of CFD and ML models in Industrial engineering flows, EFMC 14 – 14th European Fluid Mechanics Conference, Athens, Greece, 13- 16 September 2022.
C2 P. Papavasileiou, E. D. Koronaki, G. Pozzetti, M. Kathrein, C. Czettl, A. G. Boudouvis, S. P. A. Bordas, An efficient CFD model of an industrial scale CVD reactor allowing accurate coating thickness predictions, WCCM-APCOM 15th World Congress on Computational Mechanics and 8th Asian Pacific Congress on Computational mechanics, Yokohama 2022, 31 June-05 August 2022.
C3 P. Papavasileiou, E. D. Koronaki, G. Pozzetti, M. Kathrein, C. Czettl, A. G. Boudouvis, S. P. A. Bordas, A comparison of equation-based and machine learning models of industrial scale deposition processes, ECCOMAS2022 international congress on computational mechanics, Oslo, Norway, 5-9 June 2022.
C4 Papavasileiou, E. D. Koronaki, G. Pozzetti, M. Kathrein, C. Czettl, S. P. A. Bordas, A. G. Boudouvis, Assessment of CFD and ML modelling strategies for industrial chemical vapor deposition reactors, 13th PESXM (Panhellenic Scientific Conference on Chemical Engineering), Patras, Greece, 2-4 June 2022.
C5 C. Martin Linares, E. D. Koronaki, Y. Psarellis, G. Karapetsas, I. G. Kevrekidis “From Navier- Stokes simulajons for thin films to amplitude equajons and back via physics-assisted machine-learning”, Bullejn of the American Physical Society, 2022.