2 papers
cond-mat.mtrl-sci2022
Machine learning superalloy microchemistry and creep strength from physical descriptors
Patrick L Taylor, Gareth Conduit
We propose an element-agnostic set of descriptors to model superalloy properties with Gaussian process regression. Furthermore, we develop a correction method to deliver the best a…
cond-mat.mtrl-sci2021
Machine learning predictions of superalloy microstructure
Patrick L. Taylor, Gareth Conduit
Gaussian process regression machine learning with a physically-informed kernel is used to model the phase compositions of nickel-base superalloys. The model delivers good predictio…