The design of alloys for use in gas turbine engine blades is a complex task that involves
balancing multiple objectives and constraints. Candidate alloys must be ductile at room …

Bayesian Optimization (BO) has emerged as a powerful framework to efficiently explore and
exploit materials design spaces. To date, most BO approaches to materials design have …

This article presents an overview of the emerging themes in Autonomous Materials
Discovery and Manufacturing (AMDM). This interdisciplinary field is garnering a growing …

Materials design calls for an optimal exploration and exploitation of the process-structure-
property (PSP) relationships to produce materials with targeted properties. Recently, we …

It has been recently remarked that focusing only on accuracy in searching for optimal
Machine Learning models amplifies biases contained in the data, leading to unfair …

Multiobjective optimization is often a difficult task owing to the need to balance competing
objectives. A typical approach to handling this is to estimate a Pareto frontier in objective …

View Video Presentation: https://doi. org/10.2514/6.2021-1477. vid Many engineering tasks,
such as optimization, analysis, model development, model calibration, and others, can …

In this paper, we used an adaptive multi-objective optimization to increase the efficiency and
decrease the torque ripple frequency of a BLDC motor by changing the dimensions of the …

Parametric optimization solves optimization problems as a function of uncontrollable or
unknown parameters. Such an approach allows an engineer to gather more information …

Combined design of physical artifacts and control systems (known as control co-design,
CCD) has received much attention because it achieves superior system performance by …