Data analytics approach to predict high-temperature cyclic oxidation kinetics of NiCr-based Alloys

Abstract Although of practical importance, there is no established modeling framework to accurately predict high-temperature cyclic oxidation kinetics of multi-component alloys due to the inherent complexity. We present a data analytics approach to predict the oxidation rate constant of NiCr-based a...

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Bibliographic Details
Main Authors: Jian Peng, Rishi Pillai, Marie Romedenne, Bruce A. Pint, Govindarajan Muralidharan, J. Allen Haynes, Dongwon Shin
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Online Access:https://doaj.org/article/87f65d909fea40b68565da846e7fd0e6
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