LAVIGNE, T., URCUN, S., Rohan, P.-Y., Sciumè, G., BAROLI, D., & Bordas, S. P. A. (July 2023). Single and bi-compartment poro-elastic model of perfused biological soft tissues: FEniCSx implementation and tutorial. Journal of the Mechanical Behavior of Biomedical Materials, 143, 105902. doi:10.1016/j.jmbbm.2023.105902 Peer Reviewed verified by ORBi |
LAVIGNE, T., BORDAS, S., & LENGIEWICZ, J. (March 2023). Identification of material parameters and traction field for soft bodies in contact. Computer Methods in Applied Mechanics and Engineering, 406, 115889. doi:10.1016/j.cma.2023.115889 Peer Reviewed verified by ORBi |
RAJABI, M., LAVIGNE, T., SUAREZ AFANADOR, C. A., BORDAS, S., Sbalzarini, I. F., & OBEIDAT, A. (2023). Physics-informed Dynamic Graph Convolutional Neural Network with Curriculum Learning for Pore-scale Flow Simulations. Neural Networks. |
LAVIGNE, T., MAZIER, A., Perney, A., BORDAS, S., Hild, F., & LENGIEWICZ, J. (December 2022). Digital Volume Correlation for large deformations of soft tissues: Pipeline and proof of concept for the application to breast ex vivo deformations. Journal of the Mechanical Behavior of Biomedical Materials, 136, 105490. doi:10.1016/j.jmbbm.2022.105490 Peer Reviewed verified by ORBi |
Mazier, A., Lavigne, T., Lengiewicz, J., Deshpande, S., Urcun, S., & Bordas, S. (July 2022). Towards real-time patient-specific breast simulations: from full-field information to surrogate model [Paper presentation]. 9th World Congress of Biomechanics. |