Documents publiés en "2026"

Département de génie chimique

Abda, M., Berthet, L., Hamedi, M., Hibatullah, D., Piollet, E., Blake, C., Blais, B., & Gosselin, F. (2026). The finite element neural network method to simulate two dimensional partial differential equations and perform parameter identification. Scientific Reports. Lien externe

Département de génie mécanique

Abda, M., Berthet, L., Hamedi, M., Hibatullah, D., Piollet, E., Blake, C., Blais, B., & Gosselin, F. (2026). The finite element neural network method to simulate two dimensional partial differential equations and perform parameter identification. Scientific Reports. Lien externe

Ghorbani, E., Dollon, Q., & Gosselin, F. (2026). Joint parameter estimation and abrupt change quantification with uncertainty quantification in high degree of freedom dynamical systems via an optimized adaptive unscented Kalman filter. Discover Mechanical Engineering, 5(1), 147 (27 pages). Lien externe

Gosselin, F., & Abda, M. (2026). Methods and Systems for Training a Neural Network to Solve a Physical Problem Using the Finite Element Method (fem). (Demande de brevet no WO2026/020231 A1). Lien externe

Laperle, V., Ghorbani, E., Dollon, Q., & Gosselin, F. (2026). Digital twin of a pipe conveying fluid: Flow rate anomaly detection and quantification via multi-fidelity Kalman filters and event based cameras signals. Mechanical Systems and Signal Processing, 248, 114027 (16 pages). Lien externe