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Grain growth prediction based on data assimilation by implementing 4DVar on multi-phase-field model

Shin-Ichi Ito1, Hiromichi Nagao1,2, Tadashi Kasuya3

  • 1Earthquake Research Institute, The University of Tokyo, Tokyo, Japan.

Science and Technology of Advanced Materials
|November 21, 2017
PubMed

Keywords:
Bayesian statisticsGrain growthdata assimilationphase field modelprediction methoduncertainty quantification

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