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    • 10. 发明授权
    • Kernel-based fast aerial image computation for a large scale design of integrated circuit patterns
    • 基于内核的快速空中图像计算,用于大规模集成电路图案设计
    • US06223139B1
    • 2001-04-24
    • US09153842
    • 1998-09-15
    • Alfred K. WongRichard A. Ferguson
    • Alfred K. WongRichard A. Ferguson
    • G06F1750
    • G03F7/705
    • A method of simulating aerial images of large mask areas obtained during the exposure step of a photo-lithographic process when fabricating a semiconductor integrated circuit silicon wafer is described. The method includes the steps of defining mask patterns to be projected by the exposure system to create images of the mask patterns; determining an appropriate sampling range and sampling interval; generating a characteristic matrix describing the exposure system; inverting the matrix to obtain eigenvalues as well as the eigenvectors (or kernels) representing the decomposition of the exposure system; convolving the mask patterns with these eigenvectors; and weighing the resulting convolution by the eigenvalues to form the aerial images. The method is characterized in that the characteristic matrix is precisely defined by the sampling range and the sampling interval, such that the sampling range is the shortest possible and the sampling interval, the largest possible, without sacrificing accuracy. The method of generating aerial images of patterns having large mask areas provides a speed improvement of several orders of magnitude over conventional approaches.
    • 描述了在制造半导体集成电路硅晶片时模拟在光刻工艺的曝光步骤期间获得的大掩模区域的空间图像的方法。 该方法包括以下步骤:定义要由曝光系统投射的掩模图案以创建掩模图案的图像; 确定适当的采样范围和采样间隔; 生成描述曝光系统的特征矩阵; 反转矩阵以获得特征值以及表示曝光系统分解的特征向量(或内核); 将掩模图案与这些特征向量进行卷积; 并通过特征值称量所得到的卷积以形成航空图像。 该方法的特征在于,特征矩阵由采样范围和采样间隔精确定义,使得采样范围尽可能最短,采样间隔最大,而不会牺牲精度。 产生具有大掩模区域的图案的空间图像的方法提供比传统方法几个数量级的速度改进。