Bayesian optimization with active learning of design constraints using an entropy-based approach
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 …
balancing multiple objectives and constraints. Candidate alloys must be ductile at room …
Multi-objective materials bayesian optimization with active learning of design constraints: Design of ductile refractory multi-principal-element alloys
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 …
exploit materials design spaces. To date, most BO approaches to materials design have …
Digital twins for the designs of systems: a perspective
The design and operation of systems are conventionally viewed as a sequential decision-
making process that is informed by data from physical experiments and simulations …
making process that is informed by data from physical experiments and simulations …
Adaptive active subspace-based efficient multifidelity materials design
D Khatamsaz, A Molkeri, R Couperthwaite, J James… - Materials & Design, 2021 - Elsevier
Materials design calls for an optimal exploration and exploitation of the process-structure-
property (PSP) relationships to produce materials with targeted properties. Recently, we …
property (PSP) relationships to produce materials with targeted properties. Recently, we …
Multi-fidelity Gaussian process model for CFD and wind tunnel data fusion
RC Arenzana, AF López-Lopera, S Mouton, N Bartoli… - AeroBest 2021, 2021 - hal.science
In aerodynamic design, both Computational Fluid Dynamics (CFD) simulations and wind
tunnel (WT) experiments deliver datasets that are complementary in terms of uncertainties …
tunnel (WT) experiments deliver datasets that are complementary in terms of uncertainties …
Combining sparse and dense databases to form a robust aerodynamic model for a long-range, high-speed projectile
View Video Presentation: https://doi. org/10.2514/6.2022-0419. vid Several aerodynamic
databases are combined to form an aerodynamic model for a high-speed, longrange …
databases are combined to form an aerodynamic model for a high-speed, longrange …
Digital Twins for the Designs of Systems: a Perspective
The design and operation of systems are conventionally viewed as a sequential decision-
making process that is informed by data from physical experiments and simulations …
making process that is informed by data from physical experiments and simulations …
Materials design using an active subspace-based batch bayesian optimization approach
View Video Presentation: https://doi. org/10.2514/6.2022-0075. vid Integrated computational
materials engineering (ICME) calls for integrating simulation tools and/or experiments to …
materials engineering (ICME) calls for integrating simulation tools and/or experiments to …
Multi-Objective Bayesian Optimization using an Active Subspace-based Approach
D Khatamsaz, DL Allaire - AIAA SCITECH 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-2203. vid Multi-objective
optimization is often a difficult task owing to the need to balance competing objectives …
optimization is often a difficult task owing to the need to balance competing objectives …
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 …
machines are built. The ability to handle large computational problems, both in terms of …