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Designing heterogeneous hierarchical material systems: a holistic approach to structural and materials design

Published online by Cambridge University Press:  07 June 2019

Emily Ryan ,
Zoe A. Pollard ,
Quang-Thinh Ha ,
Athar Roshandelpoor ,
Pirooz Vakili  and
Jillian L. Goldfarb
Emily Ryan*
Affiliation:
Department of Mechanical Engineering, Boston University, Boston, MA, USA
Zoe A. Pollard
Affiliation:
Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA
Quang-Thinh Ha
Affiliation:
Department of Mechanical Engineering, Boston University, Boston, MA, USA
Athar Roshandelpoor
Affiliation:
Division of Systems Engineering, Boston University, Boston, MA, USA
Pirooz Vakili
Affiliation:
Department of Mechanical Engineering, Boston University, Boston, MA, USA Division of Systems Engineering, Boston University, Boston, MA, USA
Jillian L. Goldfarb
Affiliation:
Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA
*
Address all correspondence to Emily Ryan at ryanem@bu.edu
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Abstract

Many materials systems comprise complex structures where multiple materials are integrated to achieve a desired performance. Often in these systems, it is a combination of both the materials and their structure that dictate performance. Here the authors layout an integrated computational–statistical–experimental methodology for hierarchical materials systems that takes a holistic design approach to both the material and structure. The authors used computational modeling of the physical system combined with statistical design of experiments to explore an activated carbon adsorption bed. The large parameter space makes experimental optimization impractical. Instead, a computational–statistical approach is coupled with physical experiments to validate the optimization results.

Type
Artificial Intelligence Research Letters
Information
MRS Communications , Volume 9 , Issue 2 , June 2019 , pp. 628 - 636
Copyright
Copyright © Materials Research Society 2019 

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