材料特性予測システムおよび材料特性予測方法

Japanese Patent JP7267883

B2

The present invention provides a method that improves the accuracy of predicting material properties by making effective use of past data. A system to carry out prediction of material properties by processing task data including a plurality of records, each including a material composition, an experimental condition, and a material property is disclosed. This system includes a material property prediction presenting unit, a cross-task compatible feature value generating unit, and a material property predicting unit. The material property prediction presenting unit accepts a specification of first task data that includes a record in which a material property is unknown and is to be a target of material property prediction through a first predictive model. The cross-task compatible feature value generating unit predicts feature values from material compositions in the first task data by using a second predictive model. The material property predicting unit generates the first predictive model by using the material compositions, experimental condition, feature values, and the known material property in the first task data. Also, the material property predicting unit inputs the material composition, experimental condition, and feature value in a record in which the material property is unknown in the first task data to the first predictive model and predicts the unknown material property.

Akinori Asahara
Takayuki Hayashi
Takuya Kanazawa
Hidekazu Morita

JP2019169651A

May 02, 2023

September 18, 2019

Click for automatic bibliography generation  

株式会社日立製作所

G06F30/10; G06F30/27

JP201791526A
JP201982790A
JP2010277328A
JP201986817A

WO2019172280A1

Seiryo Patent Attorneys Corporation

Previous Patent: Method for calibrating substrates, patterns, and metrology equipment

Next Patent: Sheet batteries and electronic devices