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Meeting Materials Science & Technology 2019
Symposium Data Science for Material Property Interpretation
Presentation Title Human-in-the-loop Strategies for Dimensionality Reduction and Optimization in Materials Design
Author(s) Christopher W. Adair, S. Ryan Adair, Seth R. Holladay, Derek L. Hansen, Oliver K. Johnson
On-Site Speaker (Planned) Christopher W. Adair
Abstract Scope Human beings have shown the ability to reduce the dimensionality of complex problems using intuited heuristics, examples include the performance of gymnastic feats and spatial recognition. Additionally, humans, in certain cases, produce better results in groups than as individuals. In this talk, we describe how to leverage these strengths in a high dimensional materials design problem. We have developed an online video game where humans are able to manipulate grain boundary defect networks individually and as groups. From a computational standpoint, each human can be seen as a single processing unit and can be configured both in series and in parallel. We present our observations of the effect of different configurations of “human processing units” on the solution quality and optimization efficiency for a materials design application, and compare the performance of this type of human-in-the-loop computational strategy against traditional optimization methodologies for materials design.
Proceedings Inclusion? Definite: At-meeting proceedings


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