抵抗
数值孔径
极紫外光刻
平版印刷术
材料科学
节点(物理)
静态随机存取存储器
光圈(计算机存储器)
光学
多重图案
光电子学
极端紫外线
电子工程
纳米技术
物理
波长
工程类
激光器
图层(电子)
量子力学
声学
作者
Peter De Bisschop,Alessandro Vaglio Pret,Trey Graves,David Blankenship,Kunlun Bai,Stewart A. Robertson,John J. Biafore
摘要
Stochastics effects are the ultimate limiter of optical lithography technology and are a major concern for next-generation technology nodes in EUV lithography. Following up on work published last year, we compare the performance of organic chemically-amplified and condensed metal-oxide resists exposed at different sizing doses using a proxy 2D SRAM layout. For each combination of material, technology node, and lithographic approach, we perform 550,000 physics based Monte-Carlo simulations of the SRAM cell. We look at many performance data, including stochastic process variation bands at fixed, nominal conditions assuming no variation in process parameters vs. the stochastic process variation bands obtained by inclusion of process parameters. Perturbations are applied to exposure dose, focus, chief-ray azimuthal angle, mask CD, stack thicknesses, and PEB temperature. We study stochastic responses for three technology nodes: • An SRAM cell for 7 nm technology node, with Numerical Aperture = 0.33 and patterned with organic chemically amplified resist • An SRAM cell for 5 nm technology node, with Numerical Aperture = 0.33 and patterned with: o Organic chemically amplified resist o Fast photospeed organic chemically amplified resist o Metal-oxide resist • An SRAM cell for 3 nm technology node, patterned with organic chemically amplified resist and: o Numerical Aperture = 0.33 in single exposure o Numerical Aperture = 0.33 with double exposure o Numerical Aperture = 0.55 with anamorphic pupil For each case, we optimize mask bias, source illumination and process conditions across focus to maximize the optical contrast. We did not apply optical proximity correction to the mask. The purpose of the work is to evaluate the stochastic behavior of different features as a function of material strategy, technology node, and lithographic approach.
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