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Thomas Rochefort-Beaudoin
Thomas Rochefort-Beaudoin
Valence Labs
Verified email at valencelabs.com
Title
Cited by
Cited by
Year
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
132023
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
32022
Complexity-driven layout exploration for aircraft structures
JF Gamache, A Vadean, M Capo, T Rochefort-Beaudoin, N Dodane, ...
Design Science 9, e13, 2023
22023
Structural Design Through Reinforcement Learning
T Rochefort-Beaudoin, A Vadean, N Aage, S Achiche
arXiv preprint arXiv:2407.07288, 2024
12024
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
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Articles 1–6