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 processor, and a memory storing program instructions that cause the processor 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, for a model that outputs target variables related to the thermodynamic equilibrium state based on input explanatory variables related to design conditions of the target material, perform machine learning using the training data so that an input-output relation of the model approaches an input-output relation of the training data, set explanatory variables used to predict the thermodynamic equilibrium state of the target material, and output predictive target variables, being predicted results of the thermodynamic equilibrium state, from the model, based on the explanatory variables input into the model on which the machine learning has been performed.