Tootfinder

MechStyle: Augmenting Generative AI with Mechanical Simulation to Create Stylized and Structurally Viable 3D Models
Faraz Faruqi, Amira Abdel-Rahman, Leandra Tejedor, Martin Nisser, Jiaji Li, Vrushank Phadnis, Varun Jampani, Neil Gershenfeld, Megan Hofmann, Stefanie Mueller
https://arxiv.org/abs/2509.20571

MechStyle: Augmenting Generative AI with Mechanical Simulation to Create Stylized and Structurally Viable 3D Models
Recent developments in Generative AI enable creators to stylize 3D models based on text prompts. These methods change the 3D model geometry, which can compromise the model's structural integrity once fabricated. We present MechStyle, a system that enables creators to stylize 3D printable models while preserving their structural integrity. MechStyle accomplishes this by augmenting the Generative AI-based stylization process with feedback from a Finite Element Analysis (FEA) simulation. As the st…

AMS-L0 silicon ladder assembly with high precision by gantry
Feng Wang, Xuhao Yuan
https://arxiv.org/abs/2509.24564 https://arxiv.org/pdf/2509.24564…

AMS-L0 silicon ladder assembly with high precision by gantry
A high-precision silicon microstrip detector assembly methodology based on a gantry system is presented in this paper. The proposed approach has been applied to the mass production of all flight-model detector modules for the L0 tracking detector in the AMS experiment upgrade project, achieving an alignment precision of 3.4 μm along the strip direction over the maximum length of 1 meter. The fully automated production workflow, integrated with machine vision for accuracy, provides a viable sol…