|
|
Temperature dependence of migration features of self-interstitials in zirconium |
Rui Zhong(钟睿), Qing Hou(侯氢), Chao-Qiong Ma(马超琼), Bao-Qin Fu(付宝勤), Jun Wang(汪俊) |
Key Laboratory for Radiation Physics and Technology, Ministry of Education, Institute of Nuclear Science and Technology, Sichuan University, Chengdu 610064, China |
|
|
Abstract Molecular dynamics simulations are conducted to study self-interstitial migration in zirconium. By defining crystal lattice points where more than one atom is present in corresponding Wigner-Seitz cells, as the locations of self-interstitial atoms (LSIAs), three types of events are identified as LSIA migrations:the jump remaining in one 〈1120〉 direction (ILJ), the jump from one 〈1120〉 to another 〈1120〉 direction in the same basal plane (OLJ), and the jump from one basal plane to an adjacent basal plane (OPJ). The occurrence frequencies of the three types are calculated. ILJ is found to be a dominant event in a temperature range from 300 K to 1200 K, but the occurrence frequencies of OLJ and OPJ increase with temperature increasing. The total occurrence frequency of all jump types has a good linear dependence on temperature. Moreover, the migration trajectories of LSIAs in the hcp basal-plane is not what is observed if only conventional one-or two-dimensional migrations exists; rather, they exhibit the feature that we call fraction-dimensional. Using Monte Carlo simulations, the potential kinetic effects of fraction-dimensional migration, which is measured by the average number of lattice sites visited per jump event (denoted by nSPE), are analysed. The significant differences between the nSPE value of the fraction-dimensional migration and those of conventional one-and two-dimensional migrations suggest that the conventional diffusion coefficient cannot give an accurate description of the underlying kinetics of SIAs in Zr. This conclusion could be generally meaningful for the cases where the low-dimensional migration of defects are observed.
|
Received: 16 May 2017
Revised: 04 September 2017
Accepted manuscript online:
|
PACS:
|
02.70.Ns
|
(Molecular dynamics and particle methods)
|
|
66.30.-h
|
(Diffusion in solids)
|
|
24.10.Lx
|
(Monte Carlo simulations (including hadron and parton cascades and string breaking models))
|
|
61.72.-y
|
(Defects and impurities in crystals; microstructure)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 91126001) and the National Magnetic Confinement Fusion Program of China (Grant No. 2013GB109002). |
Corresponding Authors:
Qing Hou
E-mail: qhou@scu.edu.cn
|
Cite this article:
Rui Zhong(钟睿), Qing Hou(侯氢), Chao-Qiong Ma(马超琼), Bao-Qin Fu(付宝勤), Jun Wang(汪俊) Temperature dependence of migration features of self-interstitials in zirconium 2017 Chin. Phys. B 26 120202
|
[1] |
Was G S 2007 Fundamentals of Radiation Materials Science (Berlin:Springer-Verlag)
|
[2] |
Samaras M, Victoria M and Hoffelner W 2009 J. Nucl. Mater. 392 286
|
[3] |
Wen H H and Woo C H 2012 J. Nucl. Mater. 420 362
|
[4] |
Arevalo C, Caturla M J and Perlado J M 2007 J. Nucl. Mater. 362 293
|
[5] |
Barashev A V, Golubov S I and Stoller R E 2015 J. Nucl. Mater. 461 85
|
[6] |
Woo C H and Liu X 2007 Phil. Mag. 87 2355
|
[7] |
Woo C H 1988 J. Nucl. Mater. 159 237
|
[8] |
Semenov A A and Woo C H 2006 Phys. Rev. B 74 024108
|
[9] |
Pasianot R C, Monti A M, Simonelli G and Savino E J 2000 J. Nucl. Mater. 276 230
|
[10] |
Osetsky Y N, Bacon D J and Diego N 2002 Metall. Mater. Trans. A 33 777
|
[11] |
Woo C H, Huang H and Zhu W J 2003 Appl. Phys. A 76 101
|
[12] |
Domain C 2006 J. Nucl. Mater. 351 1
|
[13] |
De Diego N, Osetsky Y N and Bacon D J 2008 J. Nucl. Mater. 374 87
|
[14] |
De Diego N, Serra A, Bacon D J and Osetsky Y N 2011 Modelling Simul. Mater. Sci. Eng. 19 035003.
|
[15] |
Verite G, Domain C, Fu C C, Gasca P, Legris A and Willaime F 2013 Phys. Rev. B 87 134108
|
[16] |
Samolyuk G D, Barashev A V, Golubov S I, Osetksy Y N and Stoller R E 2014 Acta Mater. 78 173
|
[17] |
Varvenne C, Bruneval F, Marinica M C and Clouet E 2013 Phys. Rev. B 88 134102
|
[18] |
Christensen M, Wolf W, Freeman C, Wimmer E, Adamson R B, Hallstadius L, Cantonwine P E and Mader E V 2015 J. Nucl. Mater. 460 82
|
[19] |
Fan Y, Yip S and Yildiz B 2014 J. Phys.:Condens. Matter 26 365402
|
[20] |
Willaime F 2003 J. Nucl. Mater. 323 205
|
[21] |
Peng Q, Ji W, Huang H C and De S 2012 J. Nucl. Mater. 429 233
|
[22] |
Willaime F and Massobrio C 1991 Phys. Rev. B 43 11653
|
[23] |
Christien F and Barbu A 2005 J. Nucl. Mater. 346 272
|
[24] |
Mendelev M I and Ackland G J 2007 Phil Mag. Lett. 87 349
|
[25] |
Vineyard G H 1957 J. Chem. Phys. Solids 3 121
|
[26] |
Ackland G J, Wooding S J and Bacon D J 1995 Phil. Mag. A 71 553
|
[27] |
Mendelev M I and Bokstein B S 2010 Phil. Mag. 90 637
|
[28] |
Hou Q, Li M, Zhou Y L, Cui J C, Cui Z G and Wang J 2013 Comput. Phys. Commun. 184 2091
|
[29] |
Nordlund K, Ghaly M, Averback R S, Caturla M, De La Rubia T D and Tarus J 1998 Phys. Rev. B 57 7556
|
[30] |
Becquart C S and Domain C 2009 J. Nucl. Mater. 385 223
|
[31] |
Henkelman G, Uberuaga B P and Jonsson H 2000 J. Chem. Phys. 113 9901
|
[32] |
Chandrasekhar S 1943 Rev. Mod. Phys. 15 1
|
[33] |
Barashev A V and Golubov S I 2009 Phil. Mag. 89 2833
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|