A domain knowledge-informed design space exploration methodology for mechanical layout design-Reference-Cited by-同舟云学术

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A domain knowledge-informed design space exploration methodology for mechanical layout design

Published:2024-05-04 Issue:9 Volume:35 Page:1125-1152
ISSN:0954-4828
Container-title:Journal of Engineering Design
language:en
Short-container-title:Journal of Engineering Design

Author:

Li Kangjie¹²,Gao Yicong¹,Lou Shanhe³

Affiliation:

1. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, People’s Republic of China

2. Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong

3. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Junrong West, Singapore

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/09544828.2024.2347820

Reference43 articles.

1. Prediction and optimization of mechanical properties of composites using convolutional neural networks

2. Review: Machine learning techniques in analog/RF integrated circuit design, synthesis, layout, and test

3. Arroyo D. M. J. Postels and F. Tombari. 2021. “Variational Transformer Networks for Layout Generation.” arXiv:2104.02416.

4. Geometry Aligned Variational Transformer for Image-conditioned Layout Generation

5. Design Space Exploration based Methodology for Residue Number System Digital Filters Implementation

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