This article introduces an innovative design automation method aimed at systematically exploring and categorizing various 3D spatial layouts within interconnected engineering systems, encompassing diverse applications such as automotive cooling systems and building HVAC designs.

In this study, we develop a cutting-edge method using graph neural networks to support the design decision-making of shared mobility systems, like bike-sharing programs.

This research presents an AI approach to designing linkage systems, which are crucial in engineering for transforming rotational movement into precise periodic paths.

This study examines how diverse initialization, such as Latin Hypercube Sampling (LHS) or Space-Filling Designs, impacts Bayesian Optimization (BO), one of the most widely used gradient-free optimizers.

This review of ethics, equity, and justice in engineering design literature explores how we discuss design justice related concepts in our research.

This featured article introduces a self-learning design agent, an innovative approach that doesn't rely on human data or problem-specific knowledge. Instead, it uses deep learning and tree search to find high-performing and generalizable engineering design strategies.

This featured article shows how interpersonal differences, such as culture or gender difference, between a user and a designer significantly affect designers' empathic understanding in semiautonomous vehicle development.

In our modern world, complex systems such as power grids, transportation networks, and communication systems can be disrupted by both internal uncertainties and external factors like natural disasters. To make these systems more resilient, researchers have been working on design strategies that improve both reliability and recovery capabilities.

What can ants teach us about making better factories? Check out this paper recently published on JMD for a decentralized approach based on simple rules to enable multi-robot cooperative additive manufacturing.

This article explores a vision of a holistic SPI2 design approach needed to develop next-generation automated design methods that dramatically reduce the time needed to design SPI2 systems and to increase the complexity of designable systems.