ETCH BIAS CHARACTERIZATION AND METHOD OF USING THE SAME

    公开(公告)号:WO2018153884A1

    公开(公告)日:2018-08-30

    申请号:PCT/EP2018/054212

    申请日:2018-02-21

    Abstract: A method involving determining an etch bias for a pattern to be etched using an etch step of a patterning process based on an etch bias model, the etch bias model including a formula having a variable associated with a spatial property of the pattern or with an etch plasma species concentration of the etch step, and including a mathematical term including a natural exponential function to the power of a parameter that is fitted or based on an etch time of the etch step; and adjusting the patterning process based on the determined etch bias.

    METHOD FOR DETERMINING PATTERN IN A PATTERNING PROCESS

    公开(公告)号:WO2020193095A1

    公开(公告)日:2020-10-01

    申请号:PCT/EP2020/055785

    申请日:2020-03-05

    Abstract: A method for training a patterning process model, the patterning process model configured to predict a pattern that will be formed on a patterning process. The method involves obtaining an image data associated with a desired pattern, a measured pattern of the substrate, a first model comprising a first set of parameters, and a machine learning model comprising a second set of parameters; and iteratively determining values of the first set of parameters and the second set of parameters to train the patterning process model. An iteration involves executing, using the image data, the first model and the machine learning model to cooperatively predict a printed pattern of the substrate; and modifying the values of the first set of parameters and the second set of parameters such that a difference between the measured pattern and the predicted pattern of the patterning process model is reduced.

    MODELING POST-EXPOSURE PROCESSES
    4.
    发明申请
    MODELING POST-EXPOSURE PROCESSES 审中-公开
    模拟后曝光过程

    公开(公告)号:WO2018033363A1

    公开(公告)日:2018-02-22

    申请号:PCT/EP2017/069068

    申请日:2017-07-27

    CPC classification number: G03F7/70616 G03F7/70425 G03F7/70433 G03F7/705

    Abstract: Provided is a process to model post-exposure effects in patterning processes, the process including: obtaining, with one or more processors, values based on measurements of structures formed on one or more substrates by a post-exposure process and values of a first pair of process parameters by which process conditions were varied; modeling, with one or more processors, as a surface, correlation between the values based on measurements of the structures and the values of the first pair of process parameters; and storing, with one or more processors, the model in memory.

    Abstract translation: 提供了一种在构图过程中对后曝光效果进行建模的过程,该过程包括:利用一个或多个处理器获得基于对由一个或多个基板形成的结构的测量值的值, 暴露过程和第一对过程参数的值,通过该过程参数改变过程条件; 使用一个或多个处理器作为表面,建模基于结构的测量值和第一对处理参数的值之间的相关性; 并用一个或多个处理器将模型存储在内存中。

    SIMULATION MODEL STABILITY DETERMINATION METHOD

    公开(公告)号:WO2023088641A1

    公开(公告)日:2023-05-25

    申请号:PCT/EP2022/079676

    申请日:2022-10-24

    Abstract: A grid dependency check for a simulation model is described. According to embodiments of the present disclosure, a grid dependency check can be advantageously performed faster and more efficiently compared to prior grid dependency checks. Certain portions of a design layout are selected and cropped to the minimum size required by the model, and used to generate a second design layout. 5 The selected portions are rotated and/or shifted relative to the grid to form one or more moved portions. The second design layout includes the one or more selected portions and the one or more moved portions so that a modeling operation (e.g., model apply) needs to only run a single time instead of multiple times as in the prior grid dependency checks.

    DETERMINING METRICS FOR A PORTION OF A PATTERN ON A SUBSTRATE

    公开(公告)号:WO2021228725A1

    公开(公告)日:2021-11-18

    申请号:PCT/EP2021/062227

    申请日:2021-05-07

    Abstract: Systems and methods for determining one or more characteristic metrics for a portion of a pattern on a substrate are described. Pattern information for the pattern on the substrate is received. The pattern on the substrate has first and second portions. The first portion (404A,406B) of the pattern is blocked (400,402), for example with a geometrical block mask (408,410), based on the pattern information, such that the second portion of the pattern remains unblocked. The one or more metrics are determined for the unblocked second portion of the pattern. In some embodiments, the first and second portions of the pattern correspond to different exposures in a semiconductor lithography process. The semiconductor lithography process may be a multiple patterning technology process, for example, such as a double patterning process, a triple patterning process, or a spacer double patterning process.

    GENERATING AUGMENTED DATA TO TRAIN MACHINE LEARNING MODELS TO PRESERVE PHYSICAL TRENDS

    公开(公告)号:WO2023084063A1

    公开(公告)日:2023-05-19

    申请号:PCT/EP2022/081686

    申请日:2022-11-12

    Abstract: Machine learning models can be trained to predict imaging characteristics with respect to variation in a pattern on a wafer resulting from a patterning process. However, due to low pattern coverage provided by limited wafer data used for training, machine learning models tend to overfit, and predictions from the machine learning models deviate from physical trends that characterize the pattern on the wafer and/or the patterning process with respect to the pattern variation. To enhance pattern coverage, training data is augmented with pattern data that conforms to a certain expected physical trend, and applies to new patterns not covered by previously measured wafer data.

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