用Python框架实现多物理场问题的数据驱动降维，提升核工程仿真效率。
pyforce-1.0.0: Python Framework for data-driven model Order Reduction of multi-physiCs problEms
- 基于数据驱动方法降低多物理场模型复杂度，支持核反应堆仿真
- 新版本采用pyvista后端，兼容VTK格式输出，提升可视化与计算效率
- 适合需要高效降维与实时数据融合的工程仿真研究人员
pyforce 是一个用于多物理场问题（主要面向核工程）数据驱动降阶建模的 Python 工具包。它是 ROSE（基于数据驱动技术的多物理场降阶建模）项目的一部分，旨在降低多物理场模型复杂度、优化传感器位置并融合实测数据以增强对物理系统的认知。相较于基于 dolfinx（v0.6.0）的原版实现，pyforce 1.0.0 完全重写，采用 pyvista 作为网格导入、积分计算和结果可视化后端，并将函数存储为 numpy 数组，显著提升易用性。该设计使 pyforce 可与任何能导出 VTK 格式结果的求解器兼容。
原文摘要 · Abstract (English)
pyforce is a Python package implementing Data-Driven Reduced Order Modelling techniques for applications to multi-physics problems, mainly set in the Nuclear Engineering world. The package is part of the ROSE (Reduced Order modelling with data-driven techniques for multi-phySics problEms): mathematical algorithms aimed at reducing the complexity of multi-physics models (for nuclear reactors applications), at searching for optimal sensor positions and at integrating real measures to improve the knowledge on the physical systems. With respect to the previous original implementation based on dolfinx package (v0.6.0), version 1.0.0 of pyforce has been completely re-written using pyvista as backend for mesh importing, computing integrals, and visualisation of results; in addition, functions are stored as numpy arrays, improving the ease of use of the package. This choice allows to use pyforce with any software solver able to export results in VTK format.
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