Diffusion of point defects in ordered and disordered Ni–Fe alloys
Abstract
We present how the ordered and disordered arrangement of elements can affect the transport properties of point defects in Ni–Fe metallic alloys using atomistic simulations. With molecular dynamics (MD) based on both first-principles calculations and empirical potentials, we show that defect diffusion slows down in the ordered Ni–Fe phases due to the decrease of effective coordination number for nearest-neighbor defect jumps. Thus, the disorder-order transition influences defect migration by changing the local atomic environment. We further elucidate that the defect diffusion in ordered and disordered phases is a result of the interplay between preferential defect diffusion and defect stability that relate to the defect energetics. These results indicate that defect evolution may be significantly delayed by embedding certain ordered structures into bulk disordered alloys, which are important to the understanding of the role of disorder in metallic alloys and provide insights on materials engineering by tuning the disorder/order level.
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Materials Science & Technology Division; Univ. of Hong Kong (China). Dept. of Mechanical Engineering
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Materials Science & Technology Division
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Materials Science & Technology Division; Univ. of Tennessee, Knoxville, TN (United States). Dept. of Materials Science and Engineering
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1564115
- Alternate Identifier(s):
- OSTI ID: 1543366
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Alloys and Compounds
- Additional Journal Information:
- Journal Volume: 805; Journal Issue: C; Journal ID: ISSN 0925-8388
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE
Citation Formats
Zhao, Shijun, Osetsky, Yuri, and Zhang, Yanwen. Diffusion of point defects in ordered and disordered Ni–Fe alloys. United States: N. p., 2019.
Web. doi:10.1016/j.jallcom.2019.07.142.
Zhao, Shijun, Osetsky, Yuri, & Zhang, Yanwen. Diffusion of point defects in ordered and disordered Ni–Fe alloys. United States. https://doi.org/10.1016/j.jallcom.2019.07.142
Zhao, Shijun, Osetsky, Yuri, and Zhang, Yanwen. Tue .
"Diffusion of point defects in ordered and disordered Ni–Fe alloys". United States. https://doi.org/10.1016/j.jallcom.2019.07.142. https://www.osti.gov/servlets/purl/1564115.
@article{osti_1564115,
title = {Diffusion of point defects in ordered and disordered Ni–Fe alloys},
author = {Zhao, Shijun and Osetsky, Yuri and Zhang, Yanwen},
abstractNote = {We present how the ordered and disordered arrangement of elements can affect the transport properties of point defects in Ni–Fe metallic alloys using atomistic simulations. With molecular dynamics (MD) based on both first-principles calculations and empirical potentials, we show that defect diffusion slows down in the ordered Ni–Fe phases due to the decrease of effective coordination number for nearest-neighbor defect jumps. Thus, the disorder-order transition influences defect migration by changing the local atomic environment. We further elucidate that the defect diffusion in ordered and disordered phases is a result of the interplay between preferential defect diffusion and defect stability that relate to the defect energetics. These results indicate that defect evolution may be significantly delayed by embedding certain ordered structures into bulk disordered alloys, which are important to the understanding of the role of disorder in metallic alloys and provide insights on materials engineering by tuning the disorder/order level.},
doi = {10.1016/j.jallcom.2019.07.142},
journal = {Journal of Alloys and Compounds},
number = C,
volume = 805,
place = {United States},
year = {Tue Oct 15 00:00:00 EDT 2019},
month = {Tue Oct 15 00:00:00 EDT 2019}
}
Web of Science
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