Machine learning surrogates for CALPHAD inputs in mean-field precipitation modelling of IN738LC

This study presents a novel application of a machine learning-based surrogate modelling approach to replace CALPHAD-based inputs in the mean-field simulation of γ′ precipitation in the nickel-based superalloy IN738LC. A multi-component mean-field precipitation model is employed to describe the nucle...

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Detalles Bibliográficos

Autores principales:	Z.Y. Cao, M.J. Anderson, A. Rowe, G. Panoutsos, H.C. Basoalto
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2026-05-01
Colección:	Materials & Design
Materias:	Nickel-based superalloy IN738LC Mean-field theory Machine learning Neural network
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S026412752600482X
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