BioNetFlux: A Python Framework for Reaction--Diffusion--Chemotaxis Simulations on One-Dimensional Network Geometries

Fuente: arXiv
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Main Author: Bertoluzza, Silvia
Format: Preprint
Published: 2026
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author Bertoluzza, Silvia
author_facet Bertoluzza, Silvia
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2603_29807
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle BioNetFlux: A Python Framework for Reaction--Diffusion--Chemotaxis Simulations on One-Dimensional Network Geometries
Bertoluzza, Silvia
Mathematical Software
Numerical Analysis
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.
title BioNetFlux: A Python Framework for Reaction--Diffusion--Chemotaxis Simulations on One-Dimensional Network Geometries
topic Mathematical Software
Numerical Analysis
url https://arxiv.org/abs/2603.29807