... and performance spaces, thereby speeding up the design exploration process and efficiently assessing aerodynamic designs. artificial intelligence computer-aided design conceptual design creativity and concept generation data-driven design design automation design evaluation design of experiments...

... 02 2025 20 02 2025 04 03 2025 Email: smassoudi@ethz.ch Email: joseph.bejjani@epfl.ch Email: timothy.horvath@epfl.ch Email: dogukan.ustun@epfl.ch Email: jurg.schiffmann@epfl.ch artificial intelligence computer-aided design computer-aided engineering Data-driven...

... 2025 27 02 2025 computer-aided design multimodal data large language model (LLM) fine-tuning LLMs artificial intelligence data-driven design generative design National Science Foundation 10.13039/100000001 2207408 Recent advancements achieved by the generative...

... author. Email: conradt@andrew.cmu.edu Contributed by the Design for Manufacturing Committee of ASME for publication in the journal of mechanical design . 15 09 2024 03 01 2025 14 01 2025 27 02 2025 artificial intelligence computer-aided engineering design...

...@ie.nthu.edu.tw Email: s111034565@m111.nthu.edu.tw Email: hanklee0104@gapp.nthu.edu.tw Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . artificial intelligence clustering convolutional neural network deep learning image...

... sensing artificial intelligence design for humans design for manufacturing design process user-centered design 29 06 2024 14 01 2025 16 01 2025 24 02 2025 Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign...

... representations, foster deeper insights and facilitate broader exploration compared to focusing on a single representation. However, designers often struggle with the cumbersome process of creating, transforming, and refining these representations. Advanced artificial intelligence (AI) capabilities now...

... ]. This research introduces a structured methodology for the generation of synthetic domain-related textual datasets utilizing the ChatGPT, a chatbot built upon the generative models GPT-3.5 [ 21 ] and GPT-4 [ 3 ], which is a general artificial intelligence system and provides much support for human convenience...

... and FPNs of users with performance comparable to that of human designers, suggesting a promising avenue for enhancing the scalability of empathic design approaches through the integration of advanced artificial intelligence technologies. This work has the potential to significantly augment the toolkit...

... design rationale conceptual design text mining knowledge internalization technical literature artificial intelligence collaborative design data-driven design design representation metamodeling National Natural Science Foundation of China 10.13039/501100001809 52205244...

... by the Design Theory and Methodology Committee of ASME for publication in the J ournal of M echanical D esign . 03 06 2024 04 01 2025 06 01 2025 10 01 2025 agent-based design artificial intelligence bio-inspired design conceptual design creativity and concept generation...

... Inter-Turns Short Circuit Fault Detection in DFIG Using Empirical Mode Decomposition Method on Leakage Flux ,” 2020 International Conference on Sensing, Measurement & Data Analytics in the Era of Artificial Intelligence (ICSMD) , Xi'an, China , Oct. 15–17 , pp. 184 – 187 . [23] Öner , M...

...Seongjun Hong; Yongmin Kwon; Dongju Shin; Jangseop Park; Namwoo Kang Recent advances in artificial intelligence (AI) have impacted various fields, including mechanical engineering. However, the development of diverse, high-quality datasets for structural analysis remains a challenge. Traditional...

... Committee of ASME for publication in the J ournal of M echanical D esign . 21 04 2024 02 09 2024 09 09 2024 18 11 2024 Graphical Abstract Figure artificial intelligence computational geometry design automation design representation generative design...

... 10 2024 14 10 2024 18 11 2024 Graphical Abstract Figure artificial intelligence computer-aided engineering data-driven design design for manufacturing design process machine learning simulation-based design One of the primary challenges of the engineering...

... machine learning deep learning dataset generation data-driven design deep generative models artificial intelligence computational kinematics computer-aided engineering data-driven design generative design linkages mechanism synthesis Path-generating linkage mechanisms are fundamental...

... Abstract Figure surrogate modeling image-based surrogates deep neural networks dimensionality reduction artificial intelligence data-driven design machine learning robust design uncertainty modeling Office of Energy Efficiency and Renewable Energy 10.13039/100006134 DE...

... Committee of ASME for publication in the J ournal of M echanical D esign . 20 05 2024 23 08 2024 26 08 2024 23 09 2024 Graphical Abstract Figure CAE model bias correction CycleGAN transfer learning data augmentation artificial intelligence computer-aided...

... Theory and Methodology Committee of ASME for publication in the J ournal of M echanical D esign . 31 08 2023 24 06 2024 11 07 2024 28 08 2024 Graphical Abstract Figure artificial intelligence data-driven design design automation design optimization...

...Mostaan Lotfalian Saremi; Isabella Ziv; Onur Asan; Alparslan Emrah Bayrak Intelligent systems have been rapidly evolving and play a pivotal role in assisting individuals across diverse domains, from healthcare to transportation. Understanding the dynamics of human–artificial intelligence (AI...