Brian DeCost
Orcid: 0000-0002-3459-5888
According to our database1,
Brian DeCost
authored at least 10 papers
between 2017 and 2023.
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Bibliography
2023
J. Chem. Inf. Model., March, 2023
Learning material synthesis-process-structure-property relationship by data fusion: Bayesian Coregionalization N-Dimensional Piecewise Function Learning.
CoRR, 2023
Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison.
CoRR, 2023
2021
CoRR, 2021
CoRR, 2021
2020
Mach. Learn. Sci. Technol., 2020
2018
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks.
CoRR, 2018
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel.
CoRR, 2018
2017
Building Data-driven Models with Microstructural Images: Generalization and Interpretability.
CoRR, 2017