... Contributed by the Design Theory and Methodology Committee of ASME for publication in the J ournal of M echanical D esign . 14 09 2024 11 12 2024 16 12 2024 15 01 2025 artificial intelligence computer-aided design design automation design for humans design theory...

... of ASME for publication in the J ournal of M echanical D esign . 01 08 2024 12 12 2024 16 12 2024 20 12 2024 Email: yiqingding@alumni.stanford.edu Email: jlattin@stanford.edu Email: abuahin@stanford.edu Email: gabriella@oleospos.com design automation...

... autoregressive model is also capable of autocompleting a volumetric design sequence from a partial design sequence. 1 Corresponding author. Email: alam.92@osu.edu Email: yi.wang@autodesk.com Email: hajimecheng@gmail.com Email: rodgerljl@msn.com Contributed by the Design Automation...

... be used to guide the layout design of hydraulic components. To realize the functional constraints of hydraulic components, it is necessary to consider the path optimization of the flow channels [ 32 ]. Contributed by the Design Automation Committee of ASME for publication in the J ournal of M...

... mechanisms design automation design for manufacturing design of innovative devices design of machine elements design optimization design validation multidisciplinary design and optimization product design product family design structural optimization topology optimization user-centered design...

...: jwang22@scu.edu Email: kwang4@scu.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 10 05 2024 03 09 2024 05 09 2024 18 10 2024 Graphical Abstract Figure data-driven design design...

... of the medium-size SUV model. Email: jicezeng@umich.edu Email: zgao@ford.com Email: yli197@ford.com Email: sbarbat@ford.com Email: jinluz@umich.edu 1 Corresponding author. Email: zhennhu@umich.edu Contributed by the Design Automation Committee of ASME for publication in the J...

...-objective counterfactuals (MOCs) [ 13 ]. Counterfactual explanations are a much-needed alternative to popular “feature importance” methods [ 14 , 15 ] in machine learning explainability. In the design automation community, these “feature importance” methods are often used to determine which design...

... in computational engineering design. 1 Corresponding author. Email: soheyl.massoudi@epfl.ch Email: cyrilp@mit.edu Email: jurg.schiffmann@epfl.ch Contributed by Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 22 03 2024 18 06 2024...

... characteristics often observed in industrial applications. Email: jeweisla@uci.edu Email: chuanniz@uci.edu 1 Corresponding author. Email: won@uci.edu 1 Corresponding author. Email: raminb@uci.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal...

...Amin Heyrani Nobari; Justin Rey; Suhas Kodali; Matthew Jones; Faez Ahmed In many design automation applications, accurate segmentation and classification of 3D surfaces and extraction of geometric insight from 3D models can be pivotal. This paper primarily introduces a machine learning-based scheme...

...@illinois.edu Email: zhengl6@illinois.edu 1 Corresponding author. Email: pingfeng@illinois.edu Email: yumengl@illinois.edu Contributed by Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 03 09 2023 04 01 2024 09 01 2024 05...

... optimization sparse samples extreme scenario linear moment estimation design automation multidisciplinary design and optimization Graphical Abstract Figure 13 12 2023 25 01 2024 25 01 2024 05 03 2024 Contributed by the Design Automation Committee of ASME...

... in the future. The method presented here is expected to lead to faster development of holistic SPI2 design automation methods which are robust, efficient, and provide better design solutions than purely manual or heuristic design methods. Some major advantages of the proposed design optimization method...

...-source code is provided through a python repository. Email: jnajmon@purdue.edu 1 Corresponding author. Email: tovara@iupui.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 15 07 2023 27 11 2023 30 11...

... Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 15 07 2023 08 12 2023 11 12 2023 29 01 2024 machine learning design regression Gaussian process data-driven design design automation design optimization...

...: lalfred@student.ethz.ch Email: birnere@student.ethz.ch Email: tlumpe@ethz.ch Email: tinos@ethz.ch Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 07 08 2023 28 11 2023 30 11 2023 12 01 2024...

... on automating the stapling process for full design automation. Once the stapling process is automated, a future step is to validate the designs generated using the computational casting technique. This is important because the oxDNA model provides a simplification of DNA that should be subsequently assessed...

... data [ 5 – 7 ]. Recent advancements have also demonstrated the potential of advanced AI-like generative pretrained transformers (GPT) for automatic design concept generation [ 8 , 9 ]. artificial intelligence computer-aided design data-driven design design automation design for humans...

... the proposed approaches and to demonstrate their efficacy in improving the prediction accuracy of the CAE models. Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 09 08 2023 20 10 2023 26 10 2023 15 12 2023...