Publications

Thomas Rochefort-Beaudoin, Aurelian Vadean, Niels Aage, Sofiane Achiche (2024). Strucural Design Through Reinforcement Learning.

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Thomas Rochefort-Beaudoin, Aurelian Vadean, Sofiane Achiche, Niels Aage (2024). From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures.

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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.

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

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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.

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Thomas Rochefort-Beaudoin (2019). An example preprint / working paper.

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