We present BioNetFlux, an open-source Python framework for the numerical simulation of coupled systems of partial differential equations (PDEs) on one-dimensional multi-arc networks by the Hybridized Discontinuous Galerkin method. Its design targets biological transport phenomena on graph-like geometries that arise naturally in microfluidic organ-on-chip (OoC) devices, vascular networks, and in-vitro cell-migration assays.

翻译：我们提出BioNetFlux，一个基于混合间断伽辽金法对一维多弧网络上偏微分方程耦合系统进行数值模拟的开源Python框架。其设计针对微流控器官芯片、血管网络及体外细胞迁移实验等场景中自然出现的类图几何结构上的生物输运现象。