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首页> 外文期刊>Journal of Micro/Nanolithography,MEMS,and MOEMS >Calibration of physical resist models for simulation of extreme ultraviolet lithography
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Calibration of physical resist models for simulation of extreme ultraviolet lithography

机译:校准用于模拟极紫外光刻的物理抗蚀剂模型

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摘要

We have calibrated a physical resist model for extreme ultra-nviolet (EUV) lithography, and discuss model calibration and validation overna larger set of structures. The study is conducted on an extensive datanset, collected at imec, for ShinEtsu resist SEVR-59 exposed on the ASMLnEUV alpha demo tool (ADT). The data set included more than a thousandnmeasured feature widths (critical dimensions or CD) on wafer and mask.nWe address practical aspects of the calibration, such as the speed ofncalibration and selection of calibration input. The model is calibrated bynsimultaneously fitting 12 process windows of features with different masknCD (32, 36, 40 nm), orientation (horizontal, vertical), and pitch (dense,nisolated). The smallest feature size at nominal process condition is an32 nm CD at a dense pitch of 64 nm. Mask CD metrology was used tonfit the model versus actually measured mask CD’s. Cross-sectional scan-nning electron microscopy information was included in the calibration, tontune the simulated resist loss and sidewall angle. The achieved calibrationnroot-mean-squared (RMS) error is ∼1.0 nm.We discuss the elements thatnwere essential to obtain a well calibrated model.We discuss the impact ofn3-Dmask effects on the Bossung tilt.We demonstrate that a correct repre-nsentation of the flare level during the calibration is key in order to achievena high CD predictability at various flare levels. Although the model calibra-ntion is performed on a limited subset of the measurement data collectednon 12 different patterns (one dimensional structure process windows),nits accuracy is validated on a large number of patterns used to calibratenmodels for optical proximity correction—several hundred different featurentypes, at nominal dose and focus conditions. These were not included innthe calibration; validation RMS results as small as 1 nm can be reached.nFurthermore, we study the model’s extendibility to two-dimensional end ofnline structures. Finally, we show that we can correlate the experimentallynobserved fingerprint of the EUV ADT CD uniformity, to a CD fingerprintncalculated using this resist model, where EUV tool and mask specificnsignatures are taken into account
机译:我们已经为极紫外(EUV)光刻技术校准了物理抗蚀剂模型,并讨论了在更大的结构集上的模型校准和验证。这项研究是在imec收集的大量数据集上进行的,该数据集用于暴露在ASMLnEUV alpha演示工具(ADT)上的ShinEtsu抗蚀剂SEVR-59。该数据集包括晶圆和掩模上超过一千个测量到的特征宽度(关键尺寸或CD)。n我们解决了校准的实际问题,例如校准的速度和校准输入的选择。通过同时拟合具有不同masknCD(32、36、40 nm),方向(水平,垂直)和间距(密集,隔离)的特征的12个处理窗口来校准模型。在标称工艺条件下,最小的特征尺寸是32 nm CD,密集间距为64 nm。相对于实际测量的口罩CD而言,使用口罩CD计量来填充模型。校准中包括横截面扫描电子显微镜信息,以调准模拟的抗蚀剂损耗和侧壁角度。获得的校准n均方根(RMS)误差约为1.0 nm。我们讨论了获得良好校准模型必不可少的元素。我们讨论了n3-Dmask效应对Bossung倾斜的影响。我们证明了正确的表示法为了在各种火炬水平下获得较高的CD可预测性,在校准过程中火炬水平的确定至关重要。尽管模型校准是对收集的有限12个不同模式(一维结构处理窗口)的测量数据的子集执行的,但尼特斯的准确性仍可在用于校准光学接近度校正模型的大量模式上得到验证-数百种不同的特征类型,在标称剂量和聚焦条件下。这些未包括在校准中;验证RMS结果可以达到1nm。n此外,我们研究了该模型对二维末端在线结构的可扩展性。最后,我们证明了我们可以将EUV ADT CD均匀性的实验观察到的指纹与使用该抗蚀剂模型计算出的CD指纹相关联,其中考虑了EUV工具和掩模的特征

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