The invention discloses a method for predicting the
irradiation chemical damage degree of a molecular
crystal, and the method comprises the steps: carrying out the
data preparation, building a training
data set, carrying out the preprocessing of the data, constructing a prediction model of the
irradiation chemical damage of the molecular
crystal through XGBoost after the preprocessing, and carrying out the prediction of the
irradiation chemical damage degree of the molecular
crystal through the XGBoost. And calculating the contribution degree of each feature to
model prediction according to XGBoost, and calculating a feature interaction effect on the contribution of each feature by using an SHAP method to obtain irradiation sensitive molecular group data. The method has the advantages that limitation of single energy scale of a traditional empirical model is broken through, key damage sensitive factors such as molecular groups and bond dissociation energy can be revealed through cross-scale
feature fusion and model
interpretability analysis, irradiation damage prediction is promoted to be transformed from an
empirical formula to an intelligent calculation normal form by the technology, and the method is suitable for large-scale popularization and application. And an interdisciplinary solution is provided for
life evaluation of space electronic devices,
nuclear reactor material design, energetic molecular structure optimization and the like.