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Rishmawi, S., Moyne, L., Serroud, S., Rodríguez, S., Chinesta, F., Tuysuz, O., & Gosselin, F. (2025). Parameter identification of a nonlinear vertical axis rotating machine through reduced order modeling and data assimilation. Nonlinear Dynamics. External link
Rishmawi, S., Rodriguez, S., Chinesta, F., & Gosselin, F. (2024). Harmonic-modal hybrid frequency approach for parameterized non-linear. Computers & Structures, 301, 107461 (14 pages). External link
Grmela, M., Ammar, A., Chinesta, F., & Maîtrejean, G. (2014). A mesoscopic rheological model of moderately concentrated colloids. Journal of Non-Newtonian Fluid Mechanics, 212, 1-12. External link
Grmela, M., Maîtrejean, G., Chinesta, F., & Ammar, A. (2013). Kinetic Theory of Colloidal Suspensions: Morphology, Rheology, and Migration. Rheologica Acta, 52(6), 557-577. External link
Grmela, M., Ammar, A., & Chinesta, F. (2013). One and two-fiber orientation kinetic theories of fiber suspensions. Journal of Non-Newtonian Fluid Mechanics, 200, 17-33. External link
Maîtrejean, G., Ammar, A., Chinesta, F., & Grmela, M. (2012). Deterministic Solution of the Kinetic Theory Model of Colloidal Suspensions of Structureless Particles. Rheologica Acta, 51(6), 527-543. External link
Grmela, M., Ammar, A., & Chinesta, F. (2011). Extra stress tensor in fiber suspensions: Mechanics and thermodynamics. Journal of Rheology, 55(1), 17-42. External link
Grmela, M., Chinesta, F., & Ammar, A. (2010). Mesoscopic Tube Model of Fluids Composed of Worm-Like Micelles. Rheologica Acta, 49(5), 495-506. External link
Rishmawi, S., Rodríguez, S., Gosselin, F., & Chinesta, F. (2023, May). Hybrid MB-DEIM approach for parametrized nonlinear dynamics of a vertical axis rotating machine [Paper]. Canadian Society for Mechanical Engineering (CSME) / Computational Fluid Dynamics Society of Canada (CFD Canada). International congress, Sherbrooke, Qc, Canada (1 page). Published in Progress in Canadian Mechanical Engineering, 3. External link
Chinesta, F., Cueto, E., Grmela, M., Moya, B., Pavelka, M., & Ipka, M. (2020, July). Learning Physics from Data: A Thermodynamic Interpretation [Paper]. Workshop on Joint Structures and Common Foundations of Statistical Physics, Information Geometry and Inference for Learning (SPIGL 2020), Les Houches, France. External link
