Literature DB >> 30975752

On the chain-melted phase of matter.

Victor Naden Robinson1, Hongxiang Zong2, Graeme J Ackland1, Gavin Woolman1, Andreas Hermann3.   

Abstract

Various single elements form incommensurate crystal structures under pressure, where a zeolite-type "host" sublattice surrounds a "guest" sublattice comprising 1D chains of atoms. On "chain melting," diffraction peaks from the guest sublattice vanish, while those from the host remain. Diffusion of the guest atoms is expected to be confined to the channels in the host sublattice, which suggests 1D melting. Here, we present atomistic simulations of potassium to investigate this phenomenon and demonstrate that the chain-melted phase has no long-ranged order either along or between the chains. This 3D disorder provides the extensive entropy necessary to make the chain melt a true thermodynamic phase of matter, yet with the unique property that diffusion remains confined to 1D only. Calculations necessitated the development of an interatomic forcefield using machine learning, which we show fully reproduces potassium's phase diagram, including the chain-melted state and 14 known phase transitions.

Entities:  

Keywords:  chain melting; high pressure; incommensurate; machine learning; potassium

Year:  2019        PMID: 30975752      PMCID: PMC6535020          DOI: 10.1073/pnas.1900985116

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  19 in total

1.  Generalized Gradient Approximation Made Simple.

Authors: 
Journal:  Phys Rev Lett       Date:  1996-10-28       Impact factor: 9.161

2.  Ba-IV-type incommensurate crystal structure in group-V metals

Authors: 
Journal:  Phys Rev Lett       Date:  2000-12-04       Impact factor: 9.161

3.  Pressure dependent incommensuration in Rb-IV.

Authors:  M I McMahon; S Rekhi; R J Nelmes
Journal:  Phys Rev Lett       Date:  2001-07-12       Impact factor: 9.161

4.  Chain "melting" in the composite Rb-IV structure.

Authors:  M I McMahon; R J Nelmes
Journal:  Phys Rev Lett       Date:  2004-07-27       Impact factor: 9.161

5.  Ultrahigh strength in nanocrystalline materials under shock loading.

Authors:  Eduardo M Bringa; Alfredo Caro; Yinmin Wang; Maximo Victoria; James M McNaney; Bruce A Remington; Raymond F Smith; Ben R Torralva; Helena Van Swygenhoven
Journal:  Science       Date:  2005-09-16       Impact factor: 47.728

6.  Generalized neural-network representation of high-dimensional potential-energy surfaces.

Authors:  Jörg Behler; Michele Parrinello
Journal:  Phys Rev Lett       Date:  2007-04-02       Impact factor: 9.161

7.  Anomalous optical and electronic properties of dense sodium.

Authors:  A Lazicki; A F Goncharov; V V Struzhkin; R E Cohen; Z Liu; E Gregoryanz; C Guillaume; H-K Mao; Russell J Hemley
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-03       Impact factor: 11.205

8.  Transparent dense sodium.

Authors:  Yanming Ma; Mikhail Eremets; Artem R Oganov; Yu Xie; Ivan Trojan; Sergey Medvedev; Andriy O Lyakhov; Mario Valle; Vitali Prakapenka
Journal:  Nature       Date:  2009-03-12       Impact factor: 49.962

9.  Potassium under pressure: a pseudobinary ionic compound.

Authors:  M Marqués; G J Ackland; L F Lundegaard; G Stinton; R J Nelmes; M I McMahon; J Contreras-García
Journal:  Phys Rev Lett       Date:  2009-09-08       Impact factor: 9.161

10.  Shock waves in polycrystalline iron.

Authors:  Kai Kadau; Timothy C Germann; Peter S Lomdahl; Robert C Albers; Justin S Wark; Andrew Higginbotham; Brad Lee Holian
Journal:  Phys Rev Lett       Date:  2007-03-26       Impact factor: 9.161

View more
  2 in total

1.  Machine learning provides realistic model of complex phase transition.

Authors:  Sandro Scandolo
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-08       Impact factor: 11.205

2.  Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications.

Authors:  Tobias Morawietz; Nongnuch Artrith
Journal:  J Comput Aided Mol Des       Date:  2020-10-09       Impact factor: 3.686

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.