Material data processing device and material data processing method

Abstract

A material data processing device is provided with a regression model creation processing unit that performs machine learning using, out of process data including information on manufacturing conditions for manufacturing individual samples, composition data including information on composition of the individual samples, characteristics data including information on characteristics of the individual samples, and microstructure data including information on microstructure of the individual samples, two or more data including the microstructure data, and creates a regression model representing a correlation between respective data; and an estimation processing unit that estimates, by using the regression model, the process data, the composition data, the characteristics data, or the microstructure data, having been used for the machine learning, wherein the microstructure data includes a feature amount difference that is a difference between a feature amount during heating as a feature amount based on a magnetization temperature dependence during heating and a feature amount during cooling as a feature amount based on a magnetization temperature dependence during cooling. A material data processing method includes performing machine learning to create the regression model, and estimating, by using the regression model, the process data, the composition data, the characteristics data, or the microstructure data.

Dependencies are inferred from the claim text.