Patent ID: 11908118
Assignee: CITIC DICASTAL CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A visual model for image analysis of material characterization, wherein it comprises:
a first neural network model used to complete atom identification and interplanar spacing annotation, the first neural network model is trained on a first data set, the first data set is composed of first material characterization images marked with atomic species and crystal structure parameters,
a second neural network model used to count microscopic particle morphology, the second neural network model is trained on a second data set, the second data set is composed of second material characterization images marked with edges and center points of microscopic particles; and
a dynamic statistical model used to deal with the said third data set or the output data of the said second neural network model to track the motion trajectory of microstructures, the third data set composed of third material characterization images marked with microstructure features.