Deep-learning potential method to simulate shear viscosity of liquid aluminum at high temperature and high pressure by molecular dynamics-Reference-Cited by-同舟云学术

Deep-learning potential method to simulate shear viscosity of liquid aluminum at high temperature and high pressure by molecular dynamics

Published:2021-01-01 Issue:1 Volume:11 Page:015043
ISSN:2158-3226
Container-title:AIP Advances
language:en
Short-container-title:AIP Advances

Author:

Cheng Yuqing¹²^ORCID,Wang Han¹^ORCID,Wang Shuaichuang¹,Gao Xingyu¹,Li Qiong¹,Fang Jun¹,Song Hongzhou¹,Chu Weidong¹^ORCID,Zhang Gongmu¹,Song Haifeng¹^ORCID,Liu Haifeng¹^ORCID

Affiliation:

1. Institute of Applied Physics and Computational Mathematics, Beijing 100094, China

2. School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China

Funder

Beijing Academy of Artificial Intelligence

NSFC

National Science Foundation of China

Science Challenge Project

National Key Research and Development Program of China

Publisher

AIP Publishing

Subject

General Physics and Astronomy

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0036298

Reference42 articles.

1. Quantum molecular dynamics simulations of transport properties in liquid and dense-plasma plutonium

2. Average atom transport properties for pure and mixed species in the hot and warm dense matter regimes

3. Transport and optical properties of warm dense aluminum in the two-temperature regime: Ab initio calculation and semiempirical approximation

4. Communication: Simple liquids’ high-density viscosity

5. Review of the National Ignition Campaign 2009-2012

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