| Supervised deep learning for the moving morphable components topology optimization framework T Rochefort-Beaudoin, A Vadean, JF Gamache, S Achiche Engineering Applications of Artificial Intelligence 123, 106436, 2023 | 13 | 2023 |
| Comparative study of first-order moving asymptotes optimizers for the moving morphable components topology optimization framework T Rochefort-Beaudoin, A Vadean, JF Gamache, S Achiche International Design Engineering Technical Conferences and Computers and …, 2022 | 3 | 2022 |
| Complexity-driven layout exploration for aircraft structures JF Gamache, A Vadean, M Capo, T Rochefort-Beaudoin, N Dodane, ... Design Science 9, e13, 2023 | 2 | 2023 |
| Structural Design Through Reinforcement Learning T Rochefort-Beaudoin, A Vadean, N Aage, S Achiche arXiv preprint arXiv:2407.07288, 2024 | 1 | 2024 |
| From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures T Rochefort-Beaudoin, A Vadean, S Achiche, N Aage arXiv preprint arXiv:2404.18763, 2024 | | 2024 |
| A Novel use of the Ground Structure Topology Optimization for the Design of Pressurized Stiffened Panels S Mario Capo, Jean-François Gamache, Thomas Rochefort-Beaudoin, Aurelian ... International Congress of Theorethical and Applied Mechanics, 2940-2941, 2021 | | 2021 |
Aurelian VadeanProfessor, Mechanical Engineering, Polytechnique MontréalVerified email at polymtl.ca
