Phase selection in aluminum rare-earth metallic alloys by molecular dynamics simulations using machine learning interatomic potentials-Reference-Cited by-同舟云学术

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Phase selection in aluminum rare-earth metallic alloys by molecular dynamics simulations using machine learning interatomic potentials

Published:2023-02-17 Issue:2 Volume:7 Page:
ISSN:2475-9953
Container-title:Physical Review Materials
language:en
Short-container-title:Phys. Rev. Materials

Author:

Tang Ling^ORCID,Kramer Mathew J.,Ho Kai-Ming,Wang Cai-Zhang^ORCID

Funder

U.S. Department of Energy

Office of Science

Basic Energy Sciences

National Energy Research Scientific Computing Center

Ames Laboratory

Iowa State University

National Natural Science Foundation of China

Publisher

American Physical Society (APS)

Subject

Physics and Astronomy (miscellaneous),General Materials Science

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevMaterials.7.025601/fulltext

Reference45 articles.

1. Amorphous, nanoquasicrystalline and nanocrystalline alloys in Al-based systems

2. Crystallization behaviour of Al-based metallic glasses below and above the glass-transition temperature

3. Comparative study of the effect of cold rolling on the structure of Al–RE–Ni–Co (RE=rare-earth metals) amorphous and glassy alloys

4. The atomic structure of aluminum based metallic glasses and universal criterion for glass formation

5. Amorphization and nanostructure synthesis in Al alloys

Cited by 2 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. Vacancy-induced phonon localization in boron arsenide using a unified neural network interatomic potential;Cell Reports Physical Science;2024-01

2. Phase selection in aluminum rare-earth metallic alloys by molecular dynamics simulations using machine learning interatomic potentials;Physical Review Materials;2023-02-17

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