Machine learning interatomic potential for simulations of carbon at extreme conditions-Reference-Cited by-同舟云学术

Machine learning interatomic potential for simulations of carbon at extreme conditions

Published:2022-11-30 Issue:18 Volume:106 Page:
ISSN:2469-9950
Container-title:Physical Review B
language:en
Short-container-title:Phys. Rev. B

Author:

Willman Jonathan T.,Nguyen-Cong Kien,Williams Ashley S.,Belonoshko Anatoly B.^ORCID,Moore Stan G.,Thompson Aidan P.,Wood Mitchell A.,Oleynik Ivan I.^ORCID

Funder

U.S. Department of Energy

Vetenskapsrådet

Sandia National Laboratories

National Nuclear Security Administration

Oak Ridge National Laboratory

University of Texas at Austin

National Technology and Engineering Solutions of Sandia

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevB.106.L180101/fulltext

Reference58 articles.

1. The ice layer in Uranus and Neptune—diamonds in the sky?

2. Dissociation of Methane into Hydrocarbons at Extreme (Planetary) Pressure and Temperature

3. Dissociation of CH 4 at High Pressures and Temperatures: Diamond Formation in Giant Planet Interiors?

4. Formation of diamonds in laser-compressed hydrocarbons at planetary interior conditions

5. A POSSIBLE CARBON-RICH INTERIOR IN SUPER-EARTH 55 Cancri e

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Chemical Reaction Mechanisms and Models of Energetic Materials: A Perspective;Energetic Materials Frontiers;2024-09

2. Accuracy, transferability, and computational efficiency of interatomic potentials for simulations of carbon under extreme conditions;The Journal of Chemical Physics;2024-08-28

3. Atomic cluster expansion potential for large scale simulations of hydrocarbons under shock compression;The Journal of Chemical Physics;2024-08-09

4. Origin of the surface facet dependence in the thermal degradation of the diamond (111) and (100) surfaces in vacuum investigated by machine learning molecular dynamics simulations;Carbon;2024-06

5. Thermal transports of 2D phosphorous carbides by machine learning molecular dynamics simulations;International Journal of Heat and Mass Transfer;2024-06