A gallium oxide quality prediction method, preparation method and system based on deep learning and guided mode method

Abstract

The application discloses a gallium oxide quality prediction method, a preparation method and a system based on deep learning and a guide mode method, and the quality prediction method comprises the following steps: acquiring preparation data of a guide mode prepared gallium oxide single crystal, the preparation data comprising seed crystal data, environment data and control data, and the control data comprising the width and thickness of a mold gap; preprocessing the preparation data to obtain preprocessed preparation data; and inputting the preprocessed preparation data into a trained neural network model to obtain corresponding predicted quality data of the gallium oxide single crystal through the trained neural network model. The trained neural network model can be used to predict the quality of the gallium oxide single crystal, so that the preparation data can be adjusted to obtain the required performance of the gallium oxide single crystal, and the performance of the gallium oxide single crystal is optimized.

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