PIECEWISE FUNCTIONAL FITTING OF SUBSTRATE PROFILES FOR PROCESS LEARNING

    公开(公告)号:US20240054333A1

    公开(公告)日:2024-02-15

    申请号:US17884462

    申请日:2022-08-09

    CPC classification number: G06N3/08

    Abstract: A method includes receiving, by a processing device, data indicative of a plurality of measurements of a profile of a substrate. The method further includes separating the data into a plurality of sets of data, a first set of the plurality of sets associated with a first region of the profile, and a second set of the plurality of sets associated with a second region of the profile. The method further includes fitting data of the first set to a first function to generate a first fit function. The first function is selected from a library of functions. The method further includes fitting data of the second set to a second function to generate a second fit function. The method further includes generating a piecewise functional fit of the profile of the substrate. The piecewise functional fit includes the first fit function and the second fit function.

    DETERMINING SUBSTRATE CHARACTERISTICS BY VIRTUAL SUBSTRATE MEASUREMENT

    公开(公告)号:US20240152675A1

    公开(公告)日:2024-05-09

    申请号:US17982157

    申请日:2022-11-07

    CPC classification number: G06F30/31 G06F30/3308

    Abstract: A method includes receiving feature data defining a plurality of features of a virtual substrate. The method further includes preparing the virtual substrate for display on a graphical user interface (GUI). The method further includes receiving one or more first inputs via the GUI. The one or more first inputs are associated with one or more locations of the virtual substrate. The method further includes defining a three-dimensional measurement probe based on the one or more first inputs. The method further includes outputting a measurement of the measurement probe. The measurement is associated with a characteristic of the virtual substrate measured by the three-dimensional measurement probe.

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