Automated design synthesis has the potential to revolutionize the modern engineering
design process and improve access to highly optimized and customized products across …

Abstract Machine Learning (ML) techniques have been used in an extensive range of
applications in the field of structural and multidisciplinary optimization over the last few …

Having passed the primitive phases and starting to revolutionize many different fields in
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …

Generating novel and useful concepts is essential during the early design stage to explore a
large variety of design opportunities, which usually requires advanced design thinking ability …

Deep learning has recently been applied to various research areas of design optimization.
This study presents the need and effectiveness of adopting deep learning for generative …

Novel concepts are essential for design innovation and can be generated with the aid of
data stimuli and computers. However, current generative design algorithms focus on …

Engineering design research integrating artificial intelligence (AI) into computer-aided
design (CAD) and computer-aided engineering (CAE) is actively being conducted. This …

Designers increasingly rely on parametric design studies to explore and improve structural
concepts based on quantifiable metrics, generally either by generating design variations …

The authors present a generative adversarial network (GAN) model that demonstrates how
to generate 3D models in their native format so that they can be either evaluated using …

The thriving development of AIGC has catalyzed significant transformations in the design
industry, garnering increased scholarly attention to the intersection of these two fields …