A Conservative Finite Element ALE Scheme for Mass-Conserving Reaction-Diffusion Equations on Evolving Two-Dimensional Domains
John A. Mackenzie, Christopher F. Rowlatt, Robert H. Insall

TL;DR
This paper introduces a conservative ALE finite element method for reaction-diffusion equations on evolving 2D domains, ensuring mass conservation and high accuracy, with applications to biological cell migration modeling.
Contribution
It develops a robust, mass-conserving ALE finite element scheme using MMPDE mesh generation for bulk-surface reaction-diffusion systems on moving domains.
Findings
Method is second-order accurate.
Ensures global mass conservation.
Successfully models cell migration with chemotactic signals.
Abstract
Mass-conservative reaction-diffusion systems have recently been proposed as a general framework to describe intracellular pattern formation. These systems have been used to model the conformational switching of proteins as they cycle from an inactive state in the cell cytoplasm, to an active state at the cell membrane. The active state then acts as input to downstream effectors. The paradigm of activation by recruitment to the membrane underpins a range of biological pathways - including G-protein signalling, growth control through Ras and PI 3-kinase, and cell polarity through Rac and Rho; all activate their targets by recruiting them from the cytoplasm to the membrane. Global mass conservation lies at the heart of these models reflecting the property that the total number of active and inactive forms, and targets, remains constant. Here we present a conservative arbitrary Lagrangian…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Biology Tumor Growth · Advanced Mathematical Modeling in Engineering · Advanced Numerical Methods in Computational Mathematics
