Shanghai Key Laboratory of Advanced Polymeric Materials, State Key Laboratory of Bioreactor Engineering, Key Laboratory for Ultrafine Materials of Ministry of Education, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Phys Chem Chem Phys. 2019 Apr 21;21(15):7781-7788. doi: 10.1039/c9cp00712a. Epub 2019 Apr 1.
The limited complexity of self-assembled nanostructures of block copolymers seriously impedes their potential utility in the semiconductor industry. Therefore, the customizability of complex nanostructures has been a long-standing goal for the utilization of directed self-assembly in nanolithography. Herein, we integrated an advanced inverse design algorithm with a well-developed theoretical model to deduce inverse solutions of topographical templates to direct the self-assembly of block copolymers into reproducible target structures. The deduced templates were optimized by finely tuning the input parameters of the inverse design algorithm and through symmetric operation as well as nanopost elimination. More importantly, our developed algorithm has the capability to search inverse solutions of topographical templates for aperiodic nanostructures over exceptionally large areas. These results reveal design rules for guiding templates for the device-oriented nanostructures of block copolymers with prospective applications in nanolithography.
嵌段共聚物自组装纳米结构的有限复杂性严重阻碍了它们在半导体行业中的潜在应用。因此,复杂纳米结构的可定制性一直是将定向自组装应用于纳米光刻的长期目标。在此,我们将先进的逆向设计算法与成熟的理论模型相结合,推导出拓扑模板的逆向解,以引导嵌段共聚物的自组装形成可重复的目标结构。通过精细调整逆向设计算法的输入参数以及对称操作和纳米柱消除,对推导出的模板进行了优化。更重要的是,我们开发的算法具有搜索拓扑模板的逆向解的能力,可以在非常大的区域内搜索非周期性纳米结构的逆向解。这些结果揭示了指导嵌段共聚物用于器件的纳米结构的模板的设计规则,有望在纳米光刻中得到应用。