Bayesian optimization with adaptive surrogate models for automated experimental design
Bayesian optimization (BO) is an indispensable tool to optimize objective functions that
either do not have known functional forms or are expensive to evaluate. Currently, optimal …
either do not have known functional forms or are expensive to evaluate. Currently, optimal …
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 …
Efficiently exploiting process-structure-property relationships in material design by multi-information source fusion
D Khatamsaz, A Molkeri, R Couperthwaite, J James… - Acta Materialia, 2021 - Elsevier
Materials design calls for the (inverse) exploitation of Process-Structure-Property (PSP)
relationships to produce materials with targeted properties. Unfortunately, most materials …
relationships to produce materials with targeted properties. Unfortunately, most materials …
A multi-fidelity Bayesian optimization approach based on the expected further improvement
Sampling efficiency is important for simulation-based design optimization. While Bayesian
optimization (BO) has been successfully applied in engineering problems, the cost …
optimization (BO) has been successfully applied in engineering problems, the cost …
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 …
such as optimization, analysis, model development, model calibration, and others, can …
A case study of a multidisciplinary approach for facing new challenges for adsorption heat pump applications
L Calabrese - Atti della Accademia Peloritana dei Pericolanti-Classe …, 2021 - cab.unime.it
In this paper, a new zeolite/silicone foam for AHP applications was evaluated as a case
study of a multidisciplinary teaching approach for addressing a science education …
study of a multidisciplinary teaching approach for addressing a science education …
Microstructural Materials Design Using Data and Graph
A Molkeri - 2021 - oaktrust.library.tamu.edu
Technological advancements such as efficient jet engines and nuclear reactors rests on our
ability to design and discover new materials. Historically, discovery of new materials has …
ability to design and discover new materials. Historically, discovery of new materials has …