... design optimization energy systems design generative design Machine learning National Science Foundation 10.13039/100000001 EEC1449548 Accepted Manuscript Not Copyedited Journal of Mechanical Design. Received March 10, 2024; Accepted manuscript posted April 4, 2025. doi:10.1115...

... 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: pingfeng@illinois.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 30 06 2024 16 01 2025 20 01 2025 27 02 2025 power networks dataset network system design generative design...

... computer-aided design data-driven design design optimization generative design The rapid advancements in artificial intelligence (AI) have revolutionized various domains, and the field of mechanical engineering is no exception. The significance of comprehensive and diverse datasets has become...

..., the underlying sequential design process encodes valuable information for designers. Many efforts have been made to automatically generate reasonable volumetric designs, but the quality of the generated design solutions varies, and evaluating a design solution requires either a prohibitively comprehensive set...

... 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...

... automation generative design machine learning Division of Civil, Mechanical and Manufacturing Innovation 10.13039/100000147 2245299 In computer graphics and the computer-aided design (CAD)/computer-aided manufacturing (CAM) industry, parametric smooth curves (e.g., Bézier, B-spline...

.... , 2020 , “ Deep Generative Modeling for Mechanistic-Based Learning and Design of Metamaterial Systems ,” Comput. Methods Appl. Mech. Eng. , 372 , p. 113377 . 10.1016/j.cma.2020.113377 [57] Wang , Z. , and Xu , H. , 2024 , “ Manufacturability-Aware Deep Generative Design of 3D...

... generative design machine learning multi-objective optimization Modifying existing designs to generate new ones is an essential aspect of various engineering sectors, such as aerospace, automotive, architecture, pharmaceuticals, consumer goods, and many others. Design modification significantly...

..., the method used by the G1 is known as knowledge-based generative design with fixed prompt based on few-shot prompting, requiring several inputs of keyword-description pairs from existing design databases. In this case, we collected the keyword-description pairs from the industrial design products in Red-dot...

... to design, e.g., generative design (GD), to help expand designers' divergent thinking. However, generative design technologies are relatively new, we know little about generative design thinking in students. This research aims to advance our understanding of the relationship between aspects of generative...

... 01 2024 design optimization generative design micro and nanosystems design and synthesis of biomaterials design automation structural DNA nanotechnology DNA origami shape grammars Division of Civil, Mechanical and Manufacturing Innovation 10.13039/100000147 2113301...

... intelligence generative design machine learning structural optimization 20 06 2023 11 10 2023 12 10 2023 07 11 2023 Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 1 Corresponding author. Email: hongyi.3...

...Zhichao Wang; Shreyes Melkote; David W. Rosen Generative design (GD) techniques have been proposed to generate numerous designs at early design stages for ideation and exploration purposes. Previous research on GD using deep neural networks required tedious iterations between the neural network...

... Committee of ASME for publication in the J ournal of M echanical D esign . 26 04 2023 28 06 2023 29 06 2023 19 07 2023 topology optimization eigenfrequency matching frequency response analysis antiresonances design methodology design optimization generative design...

... artificial intelligence computer-aided design design for manufacturing generative design 19 09 2022 22 05 2023 22 05 2023 23 06 2023 Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 1 Corresponding author...

...Jana I. Saadi; Maria C. Yang Generative design tools empowered by recent advancements in artificial intelligence (AI) offer the opportunity for human designers and design tools to collaborate in new, more advanced modes throughout various stages of the product design process to facilitate...

... approach to bridge the gap. This paper proposes a generative design approach based on the generative pre-trained language model (PLM) to automatically retrieve and map biological analogy and generate BID in the form of natural language. The latest generative pre-trained transformer, namely generative pre...

...Chenxi Yuan; Tucker Marion; Mohsen Moghaddam Generative adversarial networks (GANs) have shown remarkable success in various generative design tasks, from topology optimization to material design, and shape parametrization. However, most generative design approaches based on GANs lack evaluation...

... 2022 09 12 2022 design automation artificial intelligence deep learning generalizability agent-based design data-driven design design representation generative design machine learning Monte Carlo Tree Search Solving design problems is one of the most ubiquitous processes...