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Bridging molecular dynamics and phase-field methods for grain growth prediction

  • Published:2018-09 Issue: Volume:152 Page:118-124
  • ISSN:0927-0256
  • Container-title:Computational Materials Science
  • language:en
  • Short-container-title:Computational Materials Science

Author:

Miyoshi Eisuke,Takaki TomohiroORCID,Shibuta Yasushi,Ohno Munekazu

Funder

Grant-in-Aids for Scientific Research

JSPS Fellows

Japan Society for the Promotion of Science

Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures

High Performance Computing Infrastructure in Japan

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference61 articles.

1. Recrystallisation and Related Annealing Phenomena;Humphreys,2004

2. Overview no. 65. Theories of normal grain growth in pure single phase systems;Atkinson;Acta Metall.,1988

3. A review of microstructural computer models used to simulate grain growth and recrystallisation in aluminium alloys;Miodownik;J. Light Met.,2002

4. Computational Materials Science;Raabe,1998

5. Mechanisms of grain growth in nanocrystalline fcc metals by molecular-dynamics simulation;Haslam;Mater. Sci. Eng. A,2001
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