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Filtering by: Creator Chan, Yu-Chin Keyword Data-driven design Keyword Deep learning Keyword Multiscale topology optimization Subject Computer science

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1. Data-Driven and Diversity-Enhanced Design of Heterogeneous Multiscale Structures

Description:: The advent of metamaterials—hierarchical structures that manifest properties beyond those found in nature through geometry rather than material composition—inspired new possibilities and research in many fields. In mechanics, periodic metamaterials exhibit behaviors ranging from unprecedented compressibility to extreme stiffness. Numerous geometric classes of metamaterials with these properties have been discovered,...
Keyword:: Design representation, Deep learning, Design synthesis, Multiscale topology optimization, Data-driven design, and Data acquisition
Subject:: Design, Mechanical engineering, and Computer science
Creator:: Chan, Yu-Chin
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 09/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:16251 and etdadmin_upload_928694

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1. Data-Driven and Diversity-Enhanced Design of Heterogeneous Multiscale Structures