Phase field mapping for accurate, ultrafast simulations of directed self-assembly

Jimmy Liu, K. Delaney, G. Fredrickson
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引用次数: 4

Abstract

Block copolymer self-assembly is a powerful tool for nanoscale patterning which benefits from predictive simulations. Two classes of simulations are self-consistent field theory (SCFT), which is accurate but computationally expensive, and phase field models, which are faster but historically less accurate. We refine a mapping procedure that uses results from SCFT to optimize parameters in a phase field model for diblock copolymers. We validate the performance of this optimized phase field model with regards to accuracy and computational speed in perfect and defective configurations. The optimized phase field model is significantly faster than SCFT and more accurate than previous phase field models, making it a viable design tool for directed self-assembly processes.
相场映射精确,超快模拟定向自组装
嵌段共聚物自组装是一种强大的工具,有利于纳米尺度的模式预测模拟。两类模拟是自洽场理论(SCFT)和相场模型,前者准确但计算成本高,后者更快,但历史上不太准确。我们改进了一个映射程序,该程序使用SCFT的结果来优化二嵌段共聚物相场模型中的参数。我们从精度和计算速度两方面验证了优化后的相场模型在完美和缺陷配置下的性能。优化后的相场模型比SCFT更快,比以前的相场模型更精确,使其成为定向自组装过程的可行设计工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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