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Hybridized Discontinuous Galerkin方法，用于在一维多弧网络上对耦合偏微分方程组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中自然出现的图状几何结构上的生物输运现象。