THERMODYNAMIC EQUILIBRIUM STATE PREDICTION DEVICE, PREDICTION METHOD AND PREDICTION PROGRAM

A prediction device for predicting a thermodynamic equilibrium state of a target material, includes a model configured to output target variables related to the thermodynamic equilibrium state based on input explanatory variables related to design conditions of the target material, a training data generating unit configured to generate training data including inputs related to predetermined design conditions and outputs related to the thermodynamic equilibrium state that may occur based on the predetermined design conditions, a model training unit configured to perform machine learning by using the training data generated by the training data generating unit so that an input-output relation of the model approaches an input-output relation of the training data, an explanatory variable setting unit configured to set predictive explanatory variables that are used to predict the thermodynamic equilibrium state of the target material, and a prediction unit configured to output predictive target variables from the model, based on the predictive explanatory variables, wherein the predictive explanatory variables are input into the model on which the machine learning has been performed by the model training unit, and wherein the predictive target variables are predicted results of the thermodynamic equilibrium state.