论文标题
核模拟器的模型还原方法
Model reduction methods for nuclear emulators
论文作者
论文摘要
模型订单降低(MOR)的领域由于能够从复杂的模拟中提取关键见解的同时丢弃计算繁重和多余的信息而变得重要性。我们提供了MOR方法的概述,以创建记忆和计算密集型核系统的快速准确模拟器。例如,我们描述了“特征向量延续”是一种特殊情况,即对参数化系统的更笼统,良好的MOR形式主义。我们继续介绍丽思和盖尔金投影方法,该方法是基于许多此类模拟器的基础,同时指出了相关的MOR理论及其成功的应用。我们认为,这将为核物理学中更广泛的应用打开大门,并促进与其他领域的从业者进行交流。
The field of model order reduction (MOR) is growing in importance due to its ability to extract the key insights from complex simulations while discarding computationally burdensome and superfluous information. We provide an overview of MOR methods for the creation of fast & accurate emulators of memory- and compute-intensive nuclear systems. As an example, we describe how "eigenvector continuation" is a special case of a much more general and well-studied MOR formalism for parameterized systems. We continue with an introduction to the Ritz and Galerkin projection methods that underpin many such emulators, while pointing to the relevant MOR theory and its successful applications along the way. We believe that this will open the door to broader applications in nuclear physics and facilitate communication with practitioners in other fields.