METHOD FOR GENERATING LEARNING MODEL FOR PREDICTING SEMICONDUCTOR DEVICE STRUCTURE AND APPARATUS FOR PREDICTING SEMICONDUCTOR DEVICE STRUCTURE

    公开(公告)号:US20240402619A1

    公开(公告)日:2024-12-05

    申请号:US18404626

    申请日:2024-01-04

    Abstract: An apparatus for predicting a structure of a semiconductor device, the apparatus includes: at least one processor; a storage configured to store a learned model configured to predict the structure of the semiconductor device; and a memory configured to store at least one code, and at least one processor operatively connected to the memory and configured to execute the at least one code to: input non-destructive metrology data measured from the semiconductor device into the learned model, and predict the structure of the semiconductor device, based on the learned model, wherein the learned model is trained with training data including first data which is non-destructive metrology data and second data which is structural metrology data as reference data of the first data, and wherein the training data is refined based on a similarity of the training data in a space having a first axis corresponding to the first data and a second axis corresponding to the second data as reference axes.

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