.png){kind=icon}
返回
Model reduction methods for nuclear emulators
.png){kind=icon}
OA
AI
DOI：10.1088/1361-6471/ac83dd.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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, focusing on eigen-emulators and variational emulators. 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 guide will open the door to broader applications in nuclear physics and facilitate communication with practitioners in other fields.
Keyword:
model reduction
reduced-order models
emulators
Bayesian statistics
Galerkin projection
variational principles
complex simulations
Ritz projection
Eigenvector Continuation
nuclear physics
期刊
J
IF:
3.5
论文数:
6.8K
被引数:
7.7K
机构
引用论文
.png){kind=icon}
分享收藏
查看更多内容