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Proximity correction for e-beam lithography

机译:电子束光刻的接近度校正

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Abstract: As the critical dimensions required for masks and e-beam direct write become ever smaller, the correction of proximity effects becomes more necessary. Furthermore, the problem is beset by the fact that only a positive energy dose can be applied with the e-beam. We discuss here approaches such as chopping and dose shifting which have been proposed to meet the positivity requirement. An alternative approach is to treat proximity correction as an optimization problem. Two such methods, local area dose correction and optimization using a regularizer proportional to the informational entropy of the solution, are compared. A notable feature of the regularized proximity correction is the ability to correct for forward scattering by the generation of a 'firewall' set back from the edge of a feature. As the forward scattering width increases, the firewall is set back further from the feature edge. The regularized optimization algorithm is computationally time consuming using conventional techniques. However, the algorithm lends itself to a microelectronics integrated circuit coprocessor implementation which could perform the optimization much faster than even the fastest work stations. Scaling the circuit to larger number of pixels is best approached with a hybrid serial/parallel digital architecture which would correct for proximity effects over 10$+8$/ pixels about one hour. This time can be reduced by simply adding additional coprocessors. !26
机译:摘要:随着掩模和电子束直接写入所需的关键尺寸变得越来越小,校正邻近效应变得更加必要。此外,问题在于,只能对电子束施加正能量剂量。我们在这里讨论为满足积极性要求而提出的诸如斩波和剂量转移之类的方法。另一种方法是将接近度校正视为优化问题。比较了两种这样的方法:局部剂量校正和使用与溶液的信息熵成比例的正则化器进行优化。正则化接近校正的一个显着特征是能够通过生成从特征边缘向后退的“防火墙”来校正前向散射。随着前向散射宽度的增加,防火墙将从特征边缘向后退。使用常规技术,正规化优化算法在计算上耗时。然而,该算法适合于微电子集成电路协处理器实现,该实现可以比甚至最快的工作站更快地执行优化。最好采用混合串行/并行数字体系结构将电路缩放到更大数量的像素,该体系结构将在大约一小时内校正超过10 $ + 8 $ /像素的邻近效应。可以通过简单地添加其他协处理器来减少此时间。 !26

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