Abstracts for Annual Meeting of Japan Association of Mineralogical Sciences
2016 Annual Meeting of Japan Association of Mineralogical Sciences
Session ID : S1-01
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S1: Igneous processes and fluids
Developing the thermodynamic model of hydrous melt-olivine equilibrium using machine-learning technique
*Kenta UekiTatsu KuwataniAtsushi OkamotoHikaru Iwamori
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Abstract

We develop a thermodynamic model to calculate phase equilibrium between the hydrous melt and olivine using machine-learning. Cross-validation, a method to evaluate the model predictability, is used to obtain the optimal set of equation and parameters. 

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© 2016 Japan Association of Mineralogical Sciences
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