MOOSE StochasticControl: A python interface for black-box optimization with MOOSE-based simulations

Prince, Zachary M.

doi:10.1016/j.softx.2026.102682

2026-06-01

Prince, Zachary M. *

Logan Harbour

Lynn Munday

DOI：10.1016/j.softx.2026.102682

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摘要

En 中文

随机控制是一种Python接口，旨在连接高保真多物理场面向对象仿真环境（MOOSE）仿真与现代数据科学和优化工作流程。该接口自动生成MOOSE随机工具模块输入，管理并行执行，并通过简洁的函数调用将感兴趣的量检索为NumPy数组。这种方法简化了多物理场仿真与需要迭代函数调用的优化和主动学习Python库的集成。一个示例展示了使用SciPy进行环形件热载荷下的形状优化，突出了通过状态保持和并行性实现的性能提升。

Keyword:

MOOSE

Optimization

Python interface

Stochastic

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期刊

SoftwareX

IF:

2.4

论文数:

346

被引数:

7.3K

机构

united states department of energy (doe)

学者数:

11.3W

论文数: 9.6W

被引数: 246

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