Strong Trapping Capability and Diffusion Suppression Effect of Silicon Carbide Surface on Tritium: A First Principle Study
Source abstract
Abstract
Silicon carbide (SiC) has attracted considerable interest for use in electronics, aerospace, and nuclear energy applications owing to its excellent electrical and mechanical properties. In the nuclear industry, SiC serves as an effective tritium permeation barrier. However, a significant discrepancy remains between the experimentally measured diffusion coefficients and the theoretical predictions. In addition, a steep tritium concentration gradient exists near the surface, whereas the concentration remains nearly uniform through the bulk, a phenomenon that is not yet fully understood. In this study, first-principles calculations were performed to investigate the influences of vacancies, grain boundaries, and surfaces on tritium diffusion in 3C-SiC. Vacancies and grain boundaries were found to have a negligible impact on the effective diffusion coefficient. In contrast, the surface exhibited a high diffusion barrier, demonstrating a strong tritium-trapping behavior. Incorporation of the surface effect into a multilayer diffusion model resulted in good agreement between the theoretical predictions and the experimental results, while also explaining the observed steep concentration gradient near the surface. These findings enhance the fundamental understanding of the tritium behavior in SiC and provide theoretical guidance for the design of high-performance tritium permeation barrier materials.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Fusion materials and technologies · Muon and positron interactions and applications · Plasma Diagnostics and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education
Tsinghua University
School of Materials Science and Engineering
Huazhong University of Science & Technology
Funding
National Program for Support of Top-notch Young Professionals · National Natural Science Foundation of China
References (69)
Show source-provided references
1. 10.1016/j.cossms.2012.03.00510.1016/j.cossms.2012.03.005 ↗
2. 10.1016/j.jnucmat.2019.15184910.1016/j.jnucmat.2019.151849 ↗
3. 10.1021/acsami.0c0411110.1021/acsami.0c04111 ↗
4. 10.1021/acsami.0c1380010.1021/acsami.0c13800 ↗
5. 10.1021/acsami.7b1065810.1021/acsami.7b10658 ↗
6. 10.1016/j.enpol.2013.06.10110.1016/j.enpol.2013.06.101 ↗
7. 10.1016/j.pnucene.2014.02.01010.1016/j.pnucene.2014.02.010 ↗
8. 10.1016/j.jnucmat.2020.15213910.1016/j.jnucmat.2020.152139 ↗
9. 10.1088/0022-3727/46/47/47300110.1088/0022-3727/46/47/473001 ↗
10. 10.1016/j.jmst.2019.07.02010.1016/j.jmst.2019.07.020 ↗
11. 10.1016/j.jnucmat.2020.15257710.1016/j.jnucmat.2020.152577 ↗
12. Katoh, Y.; Wilson, D. F.; Forsberg, C. W. Assessment of Silicon Carbide Composites for Advanced Salt-Cooled Reactors, ORNL/TM-2007/168, 982717; U.S. Department of EnergyOffice of Scientific and Technical Information, 2007.10.2172/982717 ↗
13. 10.1016/j.jnucmat.2008.12.30510.1016/j.jnucmat.2008.12.305 ↗
14. 10.1016/j.jnucmat.2012.12.02110.1016/j.jnucmat.2012.12.021 ↗
15. 10.1016/j.fusengdes.2008.06.00410.1016/j.fusengdes.2008.06.004 ↗
16. 10.1016/j.jnucmat.2014.06.00310.1016/j.jnucmat.2014.06.003 ↗
17. 10.1016/j.jnucmat.2017.12.04310.1016/j.jnucmat.2017.12.043 ↗
18. 10.1007/978-4-431-56460-7_110.1007/978-4-431-56460-7_1 ↗
19. 10.1016/j.envexpbot.2009.06.00810.1016/j.envexpbot.2009.06.008 ↗
20. Nita I. · Prog. Cryog. Isot. Sep. · 2019 · 22 · 17
21. 10.1103/PhysRevB.84.21410410.1103/PhysRevB.84.214104 ↗
22. Jiang, C.; Ke, J.H.; Simon, P.C.; Jiang, W.; Aagesen, L. K., Jr Atomistic and Mesoscale Simulations to Determine Effective Diffusion Coefficient of Fission Products in SiC, INL/EXT-21-64633-Rev000, 1825508; USDOE, 2021.10.2172/1825508 ↗
23. 10.1016/j.jnucmat.2018.06.01710.1016/j.jnucmat.2018.06.017 ↗
24. 10.1016/j.fusengdes.2009.12.00610.1016/j.fusengdes.2009.12.006 ↗
25. 10.1016/S0022-3115(02)01282-510.1016/S0022-3115(02)01282-5 ↗
26. 10.1088/1741-4326/aa6b8210.1088/1741-4326/aa6b82 ↗
27. 10.1111/j.1151-2916.1978.tb09284.x10.1111/j.1151-2916.1978.tb09284.x ↗
28. 10.1016/0022-3115(93)90376-A10.1016/0022-3115(93)90376-A ↗
29. 10.1063/5.020419210.1063/5.0204192 ↗
30. 10.1016/j.jnucmat.2022.15418210.1016/j.jnucmat.2022.154182 ↗
31. 10.1016/0022-3115(94)00623-710.1016/0022-3115(94)00623-7 ↗
32. 10.1155/2017/358672310.1155/2017/3586723 ↗
33. Geringer, J.; Katoh, Y.; Koyanagi, T.; Lee, Y. SiC/SiC Composites Technology Gap Analysis for Molten Salt Reactors, ORNL/TM-2018/842, 1462858; Oak Ridge National Laboratory, 2018.10.2172/1462858 ↗
34. 10.1016/j.jnucmat.2019.07.00110.1016/j.jnucmat.2019.07.001 ↗
35. 10.1016/j.jnucmat.2014.12.07410.1016/j.jnucmat.2014.12.074 ↗
36. 10.3390/molecules2914334310.3390/molecules29143343 ↗
37. 10.1016/j.compositesa.2010.12.00510.1016/j.compositesa.2010.12.005 ↗
38. 10.3390/molecules2811434510.3390/molecules28114345 ↗
39. 10.1016/j.ijhydene.2020.11.13110.1016/j.ijhydene.2020.11.131 ↗
40. 10.1016/j.ijhydene.2019.10.15110.1016/j.ijhydene.2019.10.151 ↗
41. 10.1007/s11431-010-4112-310.1007/s11431-010-4112-3 ↗
42. 10.1063/1.159864610.1063/1.1598646 ↗
43. 10.1016/j.pnucene.2019.10318110.1016/j.pnucene.2019.103181 ↗
44. 10.1103/PhysRevB.63.24520210.1103/PhysRevB.63.245202 ↗
45. 10.1103/PhysRevB.69.23320210.1103/PhysRevB.69.233202 ↗
46. 10.1007/s10853-008-3180-210.1007/s10853-008-3180-2 ↗
47. 10.1103/PhysRevB.79.08531410.1103/PhysRevB.79.085314 ↗
48. 10.1103/PhysRev.136.B86410.1103/PhysRev.136.B864 ↗
49. 10.1103/PhysRev.140.A113310.1103/PhysRev.140.A1133 ↗
50. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
51. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
52. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
53. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
54. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
55. 10.1063/1.338234410.1063/1.3382344 ↗
56. 10.1016/j.commatsci.2024.11315310.1016/j.commatsci.2024.113153 ↗
57. 10.1063/1.132967210.1063/1.1329672 ↗
58. 10.1107/S002188981103897010.1107/S0021889811038970 ↗
59. 10.1088/1361-648X/aa680e10.1088/1361-648X/aa680e ↗
60. 10.1016/j.ijhydene.2022.11.20610.1016/j.ijhydene.2022.11.206 ↗
61. 10.1103/PhysRevLett.63.16710.1103/PhysRevLett.63.167 ↗
62. 10.1103/PhysRevLett.64.140110.1103/PhysRevLett.64.1401 ↗
63. 10.1016/j.jnucmat.2010.10.08810.1016/j.jnucmat.2010.10.088 ↗
64. 10.1103/PhysRevB.78.21430310.1103/PhysRevB.78.214303 ↗
65. 10.1016/j.jnucmat.2024.15541010.1016/j.jnucmat.2024.155410 ↗
66. 10.1016/j.jnucmat.2020.15232610.1016/j.jnucmat.2020.152326 ↗
67. 10.1186/s41313-021-00030-810.1186/s41313-021-00030-8 ↗
68. 10.1016/j.actamat.2013.11.03010.1016/j.actamat.2013.11.030 ↗
69. 10.1016/S0168-583X(02)01529-X10.1016/S0168-583X(02)01529-X ↗