First-principles study of surface properties of uranium silicides
Abstract
We report that uranium silicides are currently under investigation as accident tolerant fuels for light water reactors because of its high uranium density and high thermal conductivity. Surface energy as an important material property is required for modeling of gas bubble behavior in nuclear fuels using mesoscale approaches, such as phase field and rate theory methods. However, there is no such information available for uranium silicides from either experiment or theory. To this end, we study the surface properties of two uranium silicide compounds U3Si2 and U3Si using first-principles calculations. Of the low-index facets of tetragonal U3Si2 and U3Si, we study a total of 13 surfaces up to a maximum Miller index of 3. From the calculated surface energies, the equilibrium single crystal shapes of U3Si2 and U3Si are obtained using Wulff construction. The dominant surface orientation, surface area weighted surface energy and surface anisotropy are predicted. Finally, the obtained surface properties of U3Si2 and U3Si can be used for an accurate description of the morphology of fission gas bubbles in uranium silicide fuels in the future.
- Authors:
-
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Nuclear Energy (NE). Nuclear Energy Advanced Modeling and Simulation (NEAMS)
- OSTI Identifier:
- 1484033
- Alternate Identifier(s):
- OSTI ID: 1635943
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Nuclear Materials
- Additional Journal Information:
- Journal Volume: 513; Journal Issue: C; Journal ID: ISSN 0022-3115
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE
Citation Formats
Mei, Zhi-Gang, Miao, Yinbin, Liang, Linyun, and Yacout, Abdellatif M. First-principles study of surface properties of uranium silicides. United States: N. p., 2018.
Web. doi:10.1016/j.jnucmat.2018.10.048.
Mei, Zhi-Gang, Miao, Yinbin, Liang, Linyun, & Yacout, Abdellatif M. First-principles study of surface properties of uranium silicides. United States. https://doi.org/10.1016/j.jnucmat.2018.10.048
Mei, Zhi-Gang, Miao, Yinbin, Liang, Linyun, and Yacout, Abdellatif M. Mon .
"First-principles study of surface properties of uranium silicides". United States. https://doi.org/10.1016/j.jnucmat.2018.10.048. https://www.osti.gov/servlets/purl/1484033.
@article{osti_1484033,
title = {First-principles study of surface properties of uranium silicides},
author = {Mei, Zhi-Gang and Miao, Yinbin and Liang, Linyun and Yacout, Abdellatif M.},
abstractNote = {We report that uranium silicides are currently under investigation as accident tolerant fuels for light water reactors because of its high uranium density and high thermal conductivity. Surface energy as an important material property is required for modeling of gas bubble behavior in nuclear fuels using mesoscale approaches, such as phase field and rate theory methods. However, there is no such information available for uranium silicides from either experiment or theory. To this end, we study the surface properties of two uranium silicide compounds U3Si2 and U3Si using first-principles calculations. Of the low-index facets of tetragonal U3Si2 and U3Si, we study a total of 13 surfaces up to a maximum Miller index of 3. From the calculated surface energies, the equilibrium single crystal shapes of U3Si2 and U3Si are obtained using Wulff construction. The dominant surface orientation, surface area weighted surface energy and surface anisotropy are predicted. Finally, the obtained surface properties of U3Si2 and U3Si can be used for an accurate description of the morphology of fission gas bubbles in uranium silicide fuels in the future.},
doi = {10.1016/j.jnucmat.2018.10.048},
journal = {Journal of Nuclear Materials},
number = C,
volume = 513,
place = {United States},
year = {Mon Nov 05 00:00:00 EST 2018},
month = {Mon Nov 05 00:00:00 EST 2018}
}
Web of Science