High temperature oxidation behavior of disordered (Ti0.5Zr0.5)2AlC MAX phase via a Machine Learning-Augmented DFT approach
The Zr-based MAX phases have attracted considerable attention for their outstanding irradiation behavior and high neutron transparency relevant to nuclear power generation technologies. In spite of increased understanding of physical behavior crystalline MAX phases, the high-temperature oxidation be...
Main Authors: | P. Singh, D. Sauceda, R. Arroyave |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-06-01
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Series: | Materials Letters: X |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S259015082100003X |
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