Literature DB >> 34170175

Phase Diagram of a Deep Potential Water Model.

Linfeng Zhang1, Han Wang2, Roberto Car3, Weinan E4.   

Abstract

Using the Deep Potential methodology, we construct a model that reproduces accurately the potential energy surface of the SCAN approximation of density functional theory for water, from low temperature and pressure to about 2400 K and 50 GPa, excluding the vapor stability region. The computational efficiency of the model makes it possible to predict its phase diagram using molecular dynamics. Satisfactory overall agreement with experimental results is obtained. The fluid phases, molecular and ionic, and all the stable ice polymorphs, ordered and disordered, are predicted correctly, with the exception of ice III and XV that are stable in experiments, but metastable in the model. The evolution of the atomic dynamics upon heating, as ice VII transforms first into ice VII^{''} and then into an ionic fluid, reveals that molecular dissociation and breaking of the ice rules coexist with strong covalent fluctuations, explaining why only partial ionization was inferred in experiments.

Entities:  

Year:  2021        PMID: 34170175     DOI: 10.1103/PhysRevLett.126.236001

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  3 in total

1.  Homogeneous ice nucleation in an ab initio machine-learning model of water.

Authors:  Pablo M Piaggi; Jack Weis; Athanassios Z Panagiotopoulos; Pablo G Debenedetti; Roberto Car
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-08       Impact factor: 12.779

2.  Moiré Phonons in Magic-Angle Twisted Bilayer Graphene.

Authors:  Xiaoqian Liu; Ran Peng; Zhaoru Sun; Jianpeng Liu
Journal:  Nano Lett       Date:  2022-09-28       Impact factor: 12.262

3.  Self-consistent determination of long-range electrostatics in neural network potentials.

Authors:  Ang Gao; Richard C Remsing
Journal:  Nat Commun       Date:  2022-03-23       Impact factor: 14.919

  3 in total

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