Multi-objective materials bayesian optimization with active learning of design constraints: Design of ductile refractory multi-principal-element alloys

D Khatamsaz, B Vela, P Singh, DD Johnson, D Allaire… - Acta Materialia, 2022 - Elsevier
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 …

Bayesian optimization with active learning of design constraints using an entropy-based approach

D Khatamsaz, B Vela, P Singh, DD Johnson… - npj Computational …, 2023 - nature.com
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 objective-based experimental design

M Imani, SF Ghoreishi - 2020 American control conference …, 2020 - ieeexplore.ieee.org
Design has become a salient part of most of the scientific and engineering tasks, embracing
a wide range of domains including real experimental settings (eg, material discovery or drug …

Bayesian optimization of multiobjective functions using multiple information sources

D Khatamsaz, L Peddareddygari, S Friedman, D Allaire - AIAA Journal, 2021 - arc.aiaa.org
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 …

Bayesian optimization for efficient design of uncertain coupled multidisciplinary systems

SF Ghoreishi, M Imani - 2020 American Control Conference …, 2020 - ieeexplore.ieee.org
Stabilization of complex cyber-physical systems is extremely important in keeping the critical
infrastructure and the environment safe. This is, in particular, critical in coupled …

Efficient multi-information source multiobjective bayesian optimization

D Khatamsaz, L Peddareddygari, S Friedman… - AIAA Scitech 2020 …, 2020 - arc.aiaa.org
Multi-objective 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 …

A comparison of reification and cokriging for sequential multi-information source fusion

D Khatamsaz, DL Allaire - AIAA Scitech 2021 Forum, 2021 - arc.aiaa.org
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 …

[PDF][PDF] A brief history of information theory by Claude Shannon in data communication

M Zubair - Journal of Applied and Emerging Sciences, 2023 - researchgate.net
There is little room for debate about the position that Claude E. Shannon's Information
Theory, which he invented, has among the most prominent among the most important …

Efficient Exploitation of Multiple Information Sources in Multi-Objective Constrained Bayesian Optimization

D Khatamsaz - 2022 - search.proquest.com
With the technological advancements made in recent years, more powerful computational
machines are built. The ability to handle large computational problems, both in terms of …