Neural network potential for Al-Mg-Si alloys-Reference-Cited by-同舟云学术

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Neural network potential for Al-Mg-Si alloys

Published:2017-10-30 Issue:5 Volume:1 Page:
ISSN:2475-9953
Container-title:Physical Review Materials
language:en
Short-container-title:Phys. Rev. Materials

Author:

Kobayashi Ryo,Giofré Daniele,Junge Till,Ceriotti Michele,Curtin William A.

Funder

Japan Science and Technology Agency

European Research Council

Publisher

American Physical Society (APS)

Subject

Physics and Astronomy (miscellaneous),General Materials Science

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevMaterials.1.053604/fulltext

Reference36 articles.

1. Embedded-atom method: Derivation and application to impurities, surfaces, and other defects in metals

2. Second nearest-neighbor modified embedded-atom-method potential

3. Modified embedded-atom method interatomic potentials for theMg−Alalloy system

4. The modified embedded-atom method interatomic potentials and recent progress in atomistic simulations

5. Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces

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