Methods and Systems for Parameter-Sensitive and Orthogonal Gauge Design for Lithography Calibration
    1.
    发明申请
    Methods and Systems for Parameter-Sensitive and Orthogonal Gauge Design for Lithography Calibration 有权
    用于光刻校准的参数敏感和正交仪表设计方法和系统

    公开(公告)号:US20110224956A1

    公开(公告)日:2011-09-15

    申请号:US13128630

    申请日:2009-11-10

    IPC分类号: G06F17/50

    摘要: Methods according to the present invention provide computationally efficient techniques for designing gauge patterns for calibrating a model for use in a simulation process, and which minimize degeneracy between model parameters, and thus maximize pattern coverage for parameter calibration. More specifically, the present invention relates to methods of designing gauge patterns that achieve complete coverage of parameter variations with minimum number of gauges and corresponding measurements in the calibration of a lithographic process utilized to image a target design having a plurality of features. According to some aspects, a method according to the invention includes transforming the space of model parametric space (based on CD sensitivity or Delta TCCs), then iteratively identifying the direction that is most orthogonal to existing gauges' CD sensitivities in this new space, and determining most sensitive line width/pitch combination with optimal assist feature placement which leads to most sensitive CD changes along that direction in model parametric space.

    摘要翻译: 根据本发明的方法提供用于设计用于校准用于模拟过程中的模型的计量模式的计算有效的技术,并且使模型参数之间的简并性最小化,并且因此使参数校准的模式覆盖最大化。 更具体地说,本发明涉及设计规格图案的方法,该图形模式可以用最小数量的量规完成覆盖参数变化,并且在用于对具有多个特征的目标设计进行成像的光刻处理的校准中的对应测量。 根据一些方面,根据本发明的方法包括改变模型参数空间的空间(基于CD灵敏度或Delta TCC),然后迭代地识别在该新空间中与现有计量器的CD灵敏度最正交的方向,以及 确定最敏感的线宽/间距组合与最佳辅助功能放置,导致在模型参数空间中沿着该方向的最敏感的CD变化。

    Methods and systems for parameter-sensitive and orthogonal gauge design for lithography calibration
    2.
    发明授权
    Methods and systems for parameter-sensitive and orthogonal gauge design for lithography calibration 有权
    用于光刻校准的参数敏感和正交仪表设计的方法和系统

    公开(公告)号:US08930172B2

    公开(公告)日:2015-01-06

    申请号:US13128630

    申请日:2009-11-10

    摘要: Methods according to the present invention provide computationally efficient techniques for designing gauge patterns for calibrating a model for use in a simulation process, and which minimize degeneracy between model parameters, and thus maximize pattern coverage for parameter calibration. More specifically, the present invention relates to methods of designing gauge patterns that achieve complete coverage of parameter variations with minimum number of gauges and corresponding measurements in the calibration of a lithographic process utilized to image a target design having a plurality of features. According to some aspects, a method according to the invention includes transforming the space of model parametric space (based on CD sensitivity or Delta TCCs), then iteratively identifying the direction that is most orthogonal to existing gauges' CD sensitivities in this new space, and determining most sensitive line width/pitch combination with optimal assist feature placement which leads to most sensitive CD changes along that direction in model parametric space.

    摘要翻译: 根据本发明的方法提供用于设计用于校准用于模拟过程中的模型的计量模式的计算有效的技术,并且使模型参数之间的简并性最小化,并且因此使参数校准的模式覆盖最大化。 更具体地说,本发明涉及设计规格图案的方法,该图形模式可以用最小数量的量规完成覆盖参数变化,并且在用于对具有多个特征的目标设计进行成像的光刻处理的校准中的对应测量。 根据一些方面,根据本发明的方法包括改变模型参数空间的空间(基于CD灵敏度或Delta TCC),然后迭代地识别在该新空间中与现有计量器的CD灵敏度最正交的方向,以及 确定最敏感的线宽/间距组合与最佳辅助功能放置,导致在模型参数空间中沿着该方向的最敏感的CD变化。

    Smart selection and/or weighting of parameters for lithographic process simulation

    公开(公告)号:US10025198B2

    公开(公告)日:2018-07-17

    申请号:US12615004

    申请日:2009-11-09

    IPC分类号: G06F17/50 G03F7/20

    摘要: The present invention generally relates to simulating a lithographic process, and more particularly to methods for smart selection and smart weighting when selecting parameters and/or kernels used in aerial image computation. According to one aspect, advantages in simulation throughput and/or accuracy can be achieved by selecting TCC kernels more intelligently, allowing highly accurate aerial images to be simulated using a relatively fewer number of TCC kernels than in the state of the art. In other words, the present invention allows for aerial images to be simulated with the same or better accuracy using much less simulation throughput than required in the prior art, all else being equal.

    MODEL-BASED SCANNER TUNING SYSTEMS AND METHODS
    5.
    发明申请
    MODEL-BASED SCANNER TUNING SYSTEMS AND METHODS 有权
    基于模型的扫描仪调谐系统和方法

    公开(公告)号:US20100010784A1

    公开(公告)日:2010-01-14

    申请号:US12475080

    申请日:2009-05-29

    IPC分类号: G06F17/50

    摘要: Systems and methods for tuning photolithographic processes are described. A model of a target scanner is maintained defining sensitivity of the target scanner with reference to a set of tunable parameters. A differential model represents deviations of the target scanner from the reference. The target scanner may be tuned based on the settings of the reference scanner and the differential model. Performance of a family of related scanners may be characterized relative to the performance of a reference scanner. Differential models may include information such as parametric offsets and other differences that may be used to simulate the difference in imaging behavior.

    摘要翻译: 描述用于调整光刻工艺的系统和方法。 保持目标扫描仪的型号,参考一组可调谐参数来定义目标扫描仪的灵敏度。 差分模型表示目标扫描器与参考值的偏差。 可以基于参考扫描仪和差分模型的设置来调整目标扫描仪。 可以相对于参考扫描仪的性能来表征相关扫描仪系列的性能。 差分模型可能包括诸如参数偏移和可能用于模拟成像行为差异的其他差异的信息。

    Pattern selection for lithographic model calibration
    7.
    发明授权
    Pattern selection for lithographic model calibration 有权
    光刻模型校准的图案选择

    公开(公告)号:US08694928B2

    公开(公告)日:2014-04-08

    申请号:US12613244

    申请日:2009-11-05

    IPC分类号: G06F17/50

    摘要: The present invention relates generally to methods and apparatuses for test pattern selection for computational lithography model calibration. According to some aspects, the pattern selection algorithms of the present invention can be applied to any existing pool of candidate test patterns. According to some aspects, the present invention automatically selects those test patterns that are most effective in determining the optimal model parameter values from an existing pool of candidate test patterns, as opposed to designing optimal patterns. According to additional aspects, the selected set of test patterns according to the invention is able to excite all the known physics and chemistry in the model formulation, making sure that the wafer data for the test patterns can drive the model calibration to the optimal parameter values that realize the upper bound of prediction accuracy imposed by the model formulation.

    摘要翻译: 本发明一般涉及用于计算光刻模型校准的测试图案选择的方法和装置。 根据一些方面,本发明的模式选择算法可以应用于任何现有的候选测试模式池。 根据一些方面,与设计最佳图案相反,本发明自动选择从现有的候选测试图案池中确定最佳模型参数值最有效的测试图案。 根据另外的方面,根据本发明的所选择的一组测试图案能够激发模型配方中的所有已知物理和化学,确保用于测试图案的晶片数据可以将模型校准驱动到最佳参数值 实现了模型公式对预测精度的上限。

    Delta TCC for fast sensitivity model computation
    8.
    发明授权
    Delta TCC for fast sensitivity model computation 有权
    Delta TCC用于快速灵敏度模型计算

    公开(公告)号:US08379991B2

    公开(公告)日:2013-02-19

    申请号:US12614180

    申请日:2009-11-06

    IPC分类号: G06K9/68

    摘要: A method for determining a difference between a reference image and a further image of a pattern, the method including determining a reference imaging function; determining parameters of a difference function representative of a difference between the reference imaging function and a further imaging function; calculating a difference between the reference image and the further image of the pattern based on the difference function and the determined parameters.

    摘要翻译: 一种用于确定参考图像与图案的另一图像之间的差异的方法,所述方法包括确定参考成像功能; 确定代表参考成像功能和另外的成像功能之间的差异的差分函数的参数; 基于差分函数和确定的参数来计算参考图像和图像的另外图像之间的差。

    PATTERN SELECTION FOR LITHOGRAPHIC MODEL CALIBRATION
    9.
    发明申请
    PATTERN SELECTION FOR LITHOGRAPHIC MODEL CALIBRATION 有权
    图形模型校准的图案选择

    公开(公告)号:US20100122225A1

    公开(公告)日:2010-05-13

    申请号:US12613244

    申请日:2009-11-05

    IPC分类号: G06F17/50

    摘要: The present invention relates generally to methods and apparatuses for test pattern selection for computational lithography model calibration. According to some aspects, the pattern selection algorithms of the present invention can be applied to any existing pool of candidate test patterns. According to some aspects, the present invention automatically selects those test patterns that are most effective in determining the optimal model parameter values from an existing pool of candidate test patterns, as opposed to designing optimal patterns. According to additional aspects, the selected set of test patterns according to the invention is able to excite all the known physics and chemistry in the model formulation, making sure that the wafer data for the test patterns can drive the model calibration to the optimal parameter values that realize the upper bound of prediction accuracy imposed by the model formulation.

    摘要翻译: 本发明一般涉及用于计算光刻模型校准的测试图案选择的方法和装置。 根据一些方面,本发明的模式选择算法可以应用于任何现有的候选测试模式池。 根据一些方面,与设计最佳图案相反,本发明自动选择从现有的候选测试图案池中确定最佳模型参数值最有效的测试图案。 根据另外的方面,根据本发明的所选择的一组测试图案能够激发模型配方中的所有已知物理和化学,确保用于测试图案的晶片数据可以将模型校准驱动到最佳参数值 实现了模型公式对预测精度的上限。

    Information matrix creation and calibration test pattern selection based on computational lithography model parameters
    10.
    发明授权
    Information matrix creation and calibration test pattern selection based on computational lithography model parameters 有权
    基于计算光刻模型参数的信息矩阵创建和校准测试模式选择

    公开(公告)号:US09588439B1

    公开(公告)日:2017-03-07

    申请号:US13332303

    申请日:2011-12-20

    摘要: Embodiments of the present invention describe methods of selecting a subset of test patterns from an initial larger set of test patterns for calibrating a computational lithography model. An example method comprises: generating an information matrix for the initial larger set of test patterns, wherein the terms of the information matrix comprise one or more identified model parameters that represent a lithographic process response; and, executing a selection algorithm using terms of the information matrix to select the subset of test patterns that effectively determines values of the identified model parameters that contribute significantly in the lithographic process response, wherein the subset of test patterns characteristically represents the initial larger set of test patterns. The selection algorithm explores coverage relationships existing in the initial larger set of test patterns.

    摘要翻译: 本发明的实施例描述了从用于校准计算光刻模型的初始较大组测试图案中选择测试图案子集的方法。 示例性方法包括:生成用于初始较大组的测试模式的信息矩阵,其中信息矩阵的项包括表示光刻过程响应的一个或多个识别的模型参数; 以及使用所述信息矩阵的项来执行选择算法,以选择有效地确定在所述光刻过程响应中有显着贡献的所识别的模型参数的值的测试模式子集,其中,所述测试模式的子集特征性地表示所述初始较大集合 测试模式。 选择算法探讨了初始较大的一组测试模式中存在的覆盖关系。