微电子中参数化简模型在化简空间中的应力恢复

I. Zawra, C. Umunnakwe, M. Soestbergen, E. Rudnyi, T. Bechtold
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引用次数: 2

摘要

在由EU b[1]资助的COMPAS项目框架内,要实现的目标是通过标准化紧凑型数字孪生体生成来实现结构健康监测。模型降阶(MOR)是生成紧凑数字双胞胎的核心,可以实时运行或用于更多的统计和优化研究。尽管传统的线性系统稳定MOR方法达到了成熟的峰值,但社区仍然在努力有效地实现它们用于实际尺寸的工业模型。更先进的方法,如耦合域多物理系统的MOR或参数模型降阶(pMOR)仍有待研究[3],b[4]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stress Recovery in the Reduced Space for Parametric Reduced Models in Microelectronics
In the framework of the COMPAS project that is funded by EU [1], the goal to be achieved is structural health monitoring through standardizing compact digital twin generation. Model order reduction (MOR) is at the heart of generating compact digital twins that can be run in real-time or used in more statistical and optimization studies. Although the conventional stable MOR methods for linear systems reached a mature peak [2], the community still struggles to implement them efficiently for real-size industrial models. More advanced methods, like MOR for coupled-domain multi-physical systems or parametric model order reduction (pMOR) are still subject to research [3], [4].
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