Local-Global Decompositions: Data-scarce and Stable Deep Generative Models for Turning Sparse Experiments into Big Datasets in Materials Science
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Robertson, Andreas Euan↗
Engineering topics
Kalidindi, Surya
Publications and source records attributed to Kalidindi, Surya.
Big Microstructure Datasets for Materials Informatics: Using Statistically Conditioned Generative Models to Curate Big Datasets
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Robertson, Andreas Euan↗
Local-Global Decompositions for Statistically Conditioned Microstructure Generation
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Robertson, Andreas Euan↗
CONDITIONAL VARIABLE FLOW MATCHING: TRANSFORMING CONDITIONAL DENSITIES WITH AMORTIZED CONDITIONAL OPTIMAL TRANSPORT
A paper discussion the theoretical and computational advances necessary to implement simulation free normalizing flows for transforming between conditional densities.
Robertson, Andreas Euan↗
Active Learning for the Design of Polycrystalline Materials
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Buzzy, Michael↗
Big Microstructure Datasets for Materials Informatics: Using Statistically Conditioned Generative Models to Curate Big Datasets
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Robertson, Andreas Euan↗
Comparison of crystal plasticity model predictions with DIC measured strain fields on Nickel clones
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Yamujala, Srinivas Chakrapani↗
Generating Realistic Synthetic Polycrystalline Microstructures
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Buzzy, Michael↗
Exploring Microstructure - Mechanical Property Relationship using Statistical Data Analysis and Multiscale Coupling.
Abstract not provided.
Lim, Hojun↗