@article{5446abf47d02478f8e4a40d3f2fbab01,
title = "Evaluations of variant models for stacking fault energy based on γ-TiAl",
abstract = "The stacking fault energy (SFE) is of great significance to understand deformation behaviour of materials. Calculated by different models, the SFEs show differences and influence our understanding. Several typical models have been applied to γ-TiAl and discussed with Ab initio calculation systematically. Different models have a little effect on the calculated intrinsic stacking fault energy (ISFE), while affect the calculated unstable stacking fault energy (USFE) a lot. An alias-to-affine deformation transform is being found in 6-layer model. The local energy analysis indicates it is caused by the intrinsic properties of the materials. Combined with experiment observation and theoretical prediction, deformation patterns are compared and discussed.",
keywords = "Ab initio, deformation pattern, local energy, stacking fault energy, γ-TiAl",
author = "Jinkai Wang and Zehang Fu and Zhanpeng Lu and Hao Wang and Yanlin He and Masanori Kohyama and Ying Chen",
note = "Funding Information: The authors thank Professor Bu{\v c}ko Tom{\'a}{\v s} for fruitful discussions. Computations were partly performed on the SR16000 supercomputer of Institute for Materials Research, Tohoku University and High Performance Computing Center, Shanghai University. The present study was supported by National Key R&D Program of China (2017YFB0304402) and Shanghai Municipal Natural Science Foundation (17ZR1410400). Funding Information: This work was supported by Natural Science Foundation of Shanghai: [Grant Number 17ZR1410400]; National Key R&D Program of China: [Grant Number 2017YFB0304402]. The authors thank Professor Bu?ko Tom?? for fruitful discussions. Computations were partly performed on the SR16000 supercomputer of Institute for Materials Research, Tohoku University and High Performance Computing Center, Shanghai University. The present study was supported by National Key R&D Program of China (2017YFB0304402) and Shanghai Municipal Natural Science Foundation (17ZR1410400). Publisher Copyright: {\textcopyright} 2019, {\textcopyright} 2019 Informa UK Limited, trading as Taylor & Francis Group.",
year = "2019",
month = dec,
day = "17",
doi = "10.1080/14786435.2019.1660013",
language = "English",
volume = "99",
pages = "3096--3115",
journal = "Philosophical Magazine",
issn = "1478-6435",
publisher = "Taylor and Francis Ltd.",
number = "24",
}