Publications

Thomas Rochefort-Beaudoin, Aurelian Vadean, Niels Aage, Sofiane Achiche (2025). Structural design through reinforcement learning. EAAI.

PDF Cite Code Source Document DOI

Thomas Rochefort-Beaudoin, Aurelian Vadean, Sofiane Achiche, Niels Aage (2025). From density to geometry: Instance segmentation for reverse engineering of optimized structures. EAAI.

PDF Cite Code Dataset Source Document DOI Try it out!

Jean-François Gamache, Aurelian Vadean, Mario Capo, Thomas Rochefort-Beaudoin, Nicolas Dodane, Sofiane Achiche (2023). Complexity-driven layout exploration for aircraft structures. Design Science, Volume 9, 2023, e13.

PDF Cite Source Document

Thomas Rochefort-Beaudoin, Aurelian Vadean, Jean-François Gamache, Sofiane Achiche (2023). Supervised deep learning for the moving morphable components topology optimization framework. EAAI.

Cite Source Document DOI

Thomas Rochefort-Beaudoin, Aurelian Vadean, Jean-François Gamache, Sofiane Achiche (2022). Comparative Study of First-Order Moving Asymptotes Optimizers for the Moving Morphable Components Topology Optimization Framework . In IDETC-CIE 2022.

Cite Source Document