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Prediction of superionic state in LiH2 at conditions enroute to nuclear fusion |
Fude Li(李福德)1, Hao Wang(王豪)1, Jinlong Li(李津龙)1, and Huayun Geng(耿华运)1,2,† |
1 National Key Laboratory of Shock Wave and Detonation Physics, Institute of Fluid Physics, CAEP, Mianyang 621900, China; 2 HEDPS, Center for Applied Physics and Technology, and College of Engineering, Peking University, Beijing 100871, China |
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Abstract Hydrogen and lithium, along with their compounds, are crucial materials for nuclear fusion research. High-pressure studies have revealed intricate structural transitions in all these materials. However, research on lithium hydrides beyond LiH has mostly focused on the low-temperature regime. Here, we use density functional theory and ab initio molecular dynamics simulations to investigate the behavior of LiH2, a hydrogen-rich compound, near its melting point. Our study is particularly relevant to the low-pressure region of the compression pathway of lithium hydrides toward fusion. We discovered a premelting superionic phase transition in LiH2 that has significant implications for its mass transportation, elastic properties, and sound velocity. The theoretical boundary for the superionic transition and melting temperature was then determined. In contrast, we also found that the primary compound of lithium hydrides, LiH, does not exhibit a superionic transition. These findings have important implications for optimizing the compression path to achieve the ignition condition in inertial confinement fusion research, especially when lithium tritium-deuteride (LiTD) is used as the fuel.
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Received: 20 May 2023
Revised: 11 July 2023
Accepted manuscript online: 26 July 2023
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PACS:
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61.50.Nw
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(Crystal stoichiometry)
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62.50.-p
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(High-pressure effects in solids and liquids)
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82.33.Pt
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(Solid state chemistry)
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Fund: Project supported by the National Key Research and Development Program of China (Grant No. 2021YFB3802300), the National Natural Science Foundation of China (Grant No. 11672274), and the NSAF (Grant No. U1730248). Part of the computation was performed using the supercomputer at the Center for Computational Materials Science (CCMS) of the Institute for Materials Research (IMR) at Tohoku University of Japan. |
Corresponding Authors:
Huayun Geng
E-mail: s102genghy@caep.cn
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Cite this article:
Fude Li(李福德), Hao Wang(王豪), Jinlong Li(李津龙), and Huayun Geng(耿华运) Prediction of superionic state in LiH2 at conditions enroute to nuclear fusion 2023 Chin. Phys. B 32 106103
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[1] Lindl J D, McCrory R L and Campbell E M 1992 Phys. Today 45 32 [2] Fasel D and Tran M Q 2005 Fusion Eng. Des. 75 1163 [3] Pfalzner S 2006 An Introduction to Inertial Confinement Fusion (Boca Raton: CRC Press) p. 16 [4] Chen Y M, Chen X R, Wu Q, Geng H Y, Yan X Z, Wang Y X and Wang Z W 2016 J. Phys. D: Appl. Phys. 49 355305 [5] Chen Y M, Geng H Y, Yan X Z, Sun Y, Wu Q and Chen X 2017 Inorg. Chem. 56 3867 [6] Cowley S C 2016 Nat. Phys. 12 384 [7] Zurek E, Hoffmann R, Ashcroft N W, Oganov A R and Lyakhov A O 2009 Proc. Natl. Acad. Sci. USA 106 17640 [8] Hohenberg P and Kohn W 1964 Phys. Rev. B 136 B864 [9] Kohn W and Sham L J 1965 Phys. Rev. A 140 A1133 [10] Yan X Z 2021 Personal communication January 31 2021 [11] Howie R T, Narygina O, Guillaume C L, Evans S and Gregoryanz E 2012 Phys. Rev. B 86 064108 [12] Kuno K, Matsuoka T, Nakagawa T, Hirao N, Ohishi Y, Shimizu K, Takahama K, Ohta K, Sakata M, Nakamoto Y and Kume T 2015 High Press. Res. 35 16 [13] Pépin C, Loubeyre P, Occelli F and Dumas P 2015 Proc. Natl. Acad. Sci. USA 112 7673 [14] Matsuoka T, Kuno K, Ohta K, Sakata M, Nakamoto Y, Hirao N, Ohishi Y, Shimizu K, Kume T and Sasaki S 2017 J. Raman Spectrosc. 48 1222 [15] Ashcroft N W 1968 Phys. Rev. Lett. 21 1748 [16] McMahon J M and Ceperley D M 2011 Phys. Rev. Lett. 106 165302 [17] Geng H Y, Song H X, Li J F and Wu Q 2012 J. Appl. Phys. 111 063510 [18] Ashcroft N W 2004 Phys. Rev. Lett. 92 187002 [19] Somayazulu M, Ahart M, Mishra A K, Geballe Z M, Baldini M, Meng Y, Struzhkin V V and Hemley R J 2019 Phys. Rev. Lett. 122 027001 [20] Grochala W and Edwards P P 2004 Chem. Rev. 104 1283 [21] Allen M P and Tildesley D J 1991 Computer Simulation of Liquids (New York: Oxford university press) p. 398 [22] Parrinello M and Rahman A 1980 Phys. Rev. Lett. 45 1196 [23] Parrinello M and Rahman A 1981 J. Appl. Phys. 52 7182 [24] Perdew J P, Burke K and Ernzerhof M 1996 Phys. Rev. Lett. 77 3865 [25] Dion M, Rydberg H, Schröder E, Langreth D C and Lundqvist B I 2004 Phys. Rev. Lett. 92 246401 [26] Kresse G and Furthmüller J 1996 Phys. Rev. B 54 11169 [27] Monkhorst H J and Pack J D 1976 Phys. Rev. B 13 5188 [28] Nosé S 1984 J. Chem. Phys. 81 511 [29] Nosé S 1991 Prog. Theor. Exp. Phys. 103 1 [30] Hoover W G 1985 Phys. Rev. A 31 1695 [31] Wang H, Gan Y, Geng H Y and Chen X R 2022 Comput. Phys. Commun. 281 108495 [32] Belonoshko A B, Skorodumova N V, Rosengren A and Johansson B 2006 Phys. Rev. B 73 012201 [33] Geng H Y and Wu Q 2016 Sci. Rep. 6 36745 [34] Geng H Y, Hoffmann R and Wu Q 2015 Phys. Rev. B 92 104103 [35] Hull S 2004 Rep. Prog. Phys. 67 1233 [36] Boyce J B and Huberman B A 1979 Phys. Rep. 51 189 [37] Geng H Y, Wu Q, Marqués M and Ackland G J 2019 Phys. Rev. B 100 134109 [38] Ogitsu T, Schwegler E, Gygi F and Galli G 2003 Phys. Rev. Lett. 91 175502 [39] Duan D, Liu Y, Ma Y, Shao Z, Liu B and Cui T 2017 Natl. Sci. Rev. 4 121 [40] Norman G E and Saitov I M 2017 Doklady Phys. 62 294 [41] Pierleoni C, Holzmann M and Ceperley D M 2018 Contrib. Plasma Phys. 58 99 [42] Mouhat F and Coudert F X 2014 Phy. Rev. B 90 224104 |
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