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    A Machine Learning Based Design Representation Method for Designing Heterogeneous Microstructures 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 005:;page 51403
    Author(s): Xu, Hongyi; Liu, Ruoqian; Choudhary, Alok; Chen, Wei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In designing microstructural materials systems, one of the key research questions is how to represent the microstructural design space quantitatively using a descriptor set that is sufficient yet small enough to be tractable. ...
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    Microstructural Materials Design Via Deep Adversarial Learning Methodology 

    Source: Journal of Mechanical Design:;2018:;volume( 140 ):;issue: 011:;page 111416
    Author(s): Yang, Zijiang; Li, Xiaolin; Catherine Brinson, L.; Choudhary, Alok N.; Chen, Wei; Agrawal, Ankit
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Identifying the key microstructure representations is crucial for computational materials design (CMD). However, existing microstructure characterization and reconstruction (MCR) techniques have limitations to be applied ...
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