Theoretical methods for structural phase transitions in elemental solids at extreme conditions: statics and dynamics

被引:5
作者
Yao, Yansun [1 ]
机构
[1] Univ Saskatchewan, Dept Phys & Engn Phys, Saskatoon, SK S7N 5E2, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
extreme conditions; phase transitions; structure prediction; molecular dynamics; first principles calculation; X-RAY-DIFFRACTION; SOURCE EVOLUTIONARY ALGORITHM; EQUATION-OF-STATE; CRYSTAL-STRUCTURE; HIGH-PRESSURE; STRUCTURE PREDICTION; MOLECULAR-DYNAMICS; LOWER-MANTLE; HYDROGEN; APPROXIMATION;
D O I
10.1088/1361-648X/ac7a82
中图分类号
O469 [凝聚态物理学];
学科分类号
070205 ;
摘要
In recent years, theoretical studies have moved from a traditionally supporting role to a more proactive role in the research of phase transitions at high pressures. In many cases, theoretical prediction leads the experimental exploration. This is largely owing to the rapid progress of computer power and theoretical methods, particularly the structure prediction methods tailored for high-pressure applications. This review introduces commonly used structure searching techniques based on static and dynamic approaches, their applicability in studying phase transitions at high pressure, and new developments made toward predicting complex crystalline phases. Successful landmark studies for each method are discussed, with an emphasis on elemental solids and their behaviors under high pressure. The review concludes with a perspective on outstanding challenges and opportunities in the field.
引用
收藏
页数:16
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共 227 条
[11]  
[Anonymous], 2003, J CHEM PHYS, DOI DOI 10.1063/1.1564060
[12]   Density functional theory including dispersion corrections for intermolecular interactions in a large benchmark set of biologically relevant molecules [J].
Antony, Jens ;
Grimme, Stefan .
PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2006, 8 (45) :5287-5293
[13]   High-dimensional neural-network potentials for multicomponent systems: Applications to zinc oxide [J].
Artrith, Nongnuch ;
Morawietz, Tobias ;
Behler, Joerg .
PHYSICAL REVIEW B, 2011, 83 (15)
[14]   METALLIC HYDROGEN - A HIGH-TEMPERATURE SUPERCONDUCTOR [J].
ASHCROFT, NW .
PHYSICAL REVIEW LETTERS, 1968, 21 (26) :1748-&
[15]   Predicting superhard materials via a machine learning informed evolutionary structure search [J].
Avery, Patrick ;
Wang, Xiaoyu ;
Oses, Corey ;
Gossett, Eric ;
Proserpio, Davide M. ;
Toher, Cormac ;
Curtarolo, Stefano ;
Zurek, Eva .
NPJ COMPUTATIONAL MATERIALS, 2019, 5 (1)
[16]   XTALOPT Version r12: An open-source evolutionary algorithm for crystal structure prediction [J].
Avery, Patrick ;
Toher, Cormac ;
Curtarolo, Stefano ;
Zurek, Eva .
COMPUTER PHYSICS COMMUNICATIONS, 2019, 237 :274-275
[17]   Observability of a projected new state of matter: A metallic superfluid [J].
Babaev, E ;
Sudbo, A ;
Ashcroft, NW .
PHYSICAL REVIEW LETTERS, 2005, 95 (10)
[18]   Nucleating a Different Coordination in a Crystal under Pressure: A Study of the B1-B2 Transition in NaCl by Metadynamics [J].
Badin, Matej ;
Martonak, Roman .
PHYSICAL REVIEW LETTERS, 2021, 127 (10)
[19]   EVO-Evolutionary algorithm for crystal structure prediction [J].
Bahmann, Silvia ;
Kortus, Jens .
COMPUTER PHYSICS COMMUNICATIONS, 2013, 184 (06) :1618-1625
[20]   Phonons and related crystal properties from density-functional perturbation theory [J].
Baroni, S ;
de Gironcoli, S ;
Dal Corso, A ;
Giannozzi, P .
REVIEWS OF MODERN PHYSICS, 2001, 73 (02) :515-562