High temperature oxidation behavior of disordered (Ti0.5Zr0.5)2AlC MAX phase via a Machine Learning-Augmented DFT Approach
P. Singh
◽
D. Sauceda
◽
R. Arroyave
A. Shamsipoor
◽
M. Farvizi
◽
M. Razavi
◽
A. Keyvani
◽
B. Mousavi
2014 ◽
Vol 48
◽
pp. 34-43
◽
B. Gorr
◽
L. Wang
◽
S. Burk
◽
M. Azim
◽
S. Majumdar
◽
...
2021 ◽
Vol 556
◽
pp. 149808
Pengfei Zhang
◽
Yulei Zhang
◽
Guohui Chen
◽
Wenhan Gai
◽
Jingan Kong
Yun Wu
◽
Yunting Li
◽
Yuantao Xu
◽
Maodong Kang
◽
Jun Wang
◽
...
Hui Liu
◽
Yaohui Fu
◽
Jinhai Yuan
◽
Lei Yu
◽
Zhefei Wang
◽
...
Radosław Swadźba
◽
Peter-Philipp Bauer
Jie-Chao Zhang
◽
Li-Na Jia
◽
Jun-Fei Weng
◽
Lin-Fen Su
◽
Bin Kong
◽
...
2000 ◽
Vol 56
(4)
◽
pp. 339-349
◽
S.-Y. Liu
◽
C.-L. Lee
◽
C.-H. Kao
◽
T.-P. Perng
2011 ◽
Vol 519
(8)
◽
pp. 2402-2408
◽
Jianliang Lin
◽
John J. Moore
◽
Jun Wang
◽
William D. Sproul
2011 ◽
Vol 257
(6)
◽
pp. 1835-1839
◽
Hongyan Wu
◽
Pingze Zhang
◽
Haofeng Zhao
◽
Ling Wang
◽
Aigen Xie