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

On top of machine learning (ML) models, uncertainty quantification (UQ) functions as an
essential layer of safety assurance that could lead to more principled decision making by …

Recent breakthroughs in artificial intelligence (AI), and particularly in deep learning (DL),
have created tremendous excitement and opportunities in the earth and environmental …

Industry 4.0 is based on the digitization of manufacturing industries and has raised the
prospect for substantial improvements in productivity, quality, and customer satisfaction. This …

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 …

The patent database is often used by designers to search for inspirational stimuli for
innovative design opportunities because of the large size, extensive variety, and the …

The vision of Industry 4.0 is to materialize the notion of a lot-size of one through enhanced
adaptability and resilience of manufacturing and logistics operations to dynamic changes or …

Abstract Design and optimization of hull shapes for optimal hydrodynamic performance have
been a major challenge for naval architectures. Deep learning bears the promise of …

In this paper, we discuss the convergence of recent advances in deep neural networks
(DNNs) with the design of robotic mechanisms, which entails the conceptualization of the …

Rapid advances in additive manufacturing and topology optimization enable unprecedented
levels of design freedom for realizing complex structures. The challenge is that the …