Kinetic approach to defect reduction in directed self-assembly

IF 1.5 2区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Journal of Micro/Nanolithography, MEMS, and MOEMS Pub Date : 2019-10-01 DOI:10.1117/1.JMM.18.4.043502
Jiajing Li, Paulina A. Rincon-Delgadillo, H. Suh, G. Mannaert, P. Nealey
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引用次数: 7

Abstract

Abstract. As a potential solution to next-generation nanolithography, directed self-assembly (DSA) of block copolymers (BCPs) is still restrained in high-volume manufacturing primarily due to its defectivity issue. Though defects possess greater free energies than aligned morphologies and are highly energetically unfavorable, they can be kinetically trapped by the energy barriers and persist for a long time during annealing. Therefore, understanding the kinetics of defect annihilation is crucial in revealing the mechanism of defect formation and in further reducing defectivity in DSA. We focus on two types of predominant defects in DSA—dislocation and bridge. A kinetic model of each defect type is developed through statistical analysis of experimental data, providing insight into possible approaches of further defect reduction. We also investigate the impact of annealing temperature and film thickness on annihilation kinetics and discuss the reasons behind the observed results. By simply optimizing annealing conditions and film thickness, we have successfully reduced the total defect density by 1 order of magnitude. Though these findings are based on polystyrene-b-poly(methyl methacrylate) (PS-b-PMMA), we anticipate they could be readily applied to other BCP platforms as well.
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定向自组装中缺陷减少的动力学方法
摘要作为下一代纳米光刻技术的潜在解决方案,嵌段共聚物(bcp)的定向自组装(DSA)仍然受到大批量生产的限制,主要是由于其缺陷问题。虽然缺陷比排列形态具有更大的自由能,并且在能量上非常不利,但它们可以被能量势垒动态捕获并在退火过程中持续很长时间。因此,了解缺陷湮灭动力学对于揭示缺陷形成机制和进一步降低DSA缺陷至关重要。我们重点研究了dsa中两种主要的缺陷——位错和桥。通过对实验数据的统计分析,建立了每种缺陷类型的动力学模型,为进一步减少缺陷的可能方法提供了见解。我们还研究了退火温度和薄膜厚度对湮灭动力学的影响,并讨论了观察结果背后的原因。通过简单地优化退火条件和薄膜厚度,我们成功地将总缺陷密度降低了一个数量级。虽然这些发现是基于聚苯乙烯-b-聚甲基丙烯酸甲酯(PS-b-PMMA),但我们预计它们也可以很容易地应用于其他BCP平台。
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来源期刊
CiteScore
3.40
自引率
30.40%
发文量
0
审稿时长
6-12 weeks
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