标题： pylimer-tools：用于生成和分析珠-弹簧聚合物网络的Python包 显示英文标题

标题： pylimer-tools: A Python Package for Generating and Analyzing Bead-Spring Polymer Networks

摘要： Python包pylimer-tools是用于聚合物网络计算研究的综合性工具包，特别是用于珠-弹簧网络。 该包提供了使用蒙特卡洛（MC）程序生成聚合物网络并分析其结构和机械性能的功能。 主要功能包括检测环、通过力平衡过程在有无缠绕的情况下将网络简化为其基态能量，之后计算网络链的可溶分数和悬空分数，以及平衡剪切模量。 该工具包支持对内部生成的结构以及由外部模拟软件（如LAMMPS）生成的结构进行分析。 该包实现了包括Miller-Macosko理论在内的理论框架，并提供了一种具有滑动弹簧缠绕建模的耗散粒子动力学（DPD）模拟器。 该包采用C++编写以提高性能，并通过Python绑定进行暴露，解决了计算聚合物科学中对专用工具的需求。 显示英文摘要

摘要： The Python package pylimer-tools is a comprehensive toolkit for computational studies of polymer networks, particularly bead-spring networks. The package provides functionality to generate polymer networks using Monte Carlo (MC) procedures and analyze their structural and mechanical properties. Key features include detection of loops, reduction of the network to its ground state energy both with and without entanglements by the Force Balance procedure, and thereafter computing the soluble and dangling fractions of network strands, as well as the equilibrium shear modulus. The toolkit supports analysis of structures generated both internally and by external simulation software such as LAMMPS. The package implements theoretical frameworks including Miller-Macosko theory and provides a dissipative particle dynamics (DPD) simulator with slip-spring entanglement modeling. Built with C++ for performance and exposed through Python bindings, pylimer-tools addresses the need for specialized tools in computational polymer science.