Application of Gaussian Process regression models for capturing the evolution of microstructure statistics in aging of Nickel-based superalloys

Published 2019 View Full Article

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Title
Application of Gaussian Process regression models for capturing the evolution of microstructure statistics in aging of Nickel-based superalloys
Authors
Keywords
Superalloys, Rotationally invariant 2-Point statistics, Gaussian process regression (GPR), Uncertainty quantification, Microstructure generation
Journal
ACTA MATERIALIA
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2019-07-30
DOI
10.1016/j.actamat.2019.07.048

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