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A Machine Learning Based Design Representation Method for Designing Heterogeneous Microstructures
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. ...
Microstructural Materials Design Via Deep Adversarial Learning Methodology
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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