A FINITE ELEMENT FRAMEWORK FOR BULK-SURFACE COUPLED PDES TO SOLVE MOVING BOUNDARY PROBLEMS IN BIOPHYSICS
Alessandro Contri1, André Massing1, Padmini Rangamani2
1Department of Mathematics, Norwegian University of Science and Technology, Trondheim, Norway.
Biorxiv : the Preprint Server for Biology
|November 24, 2025
Summary
This study introduces a novel computational framework for biophysics, enhancing the simulation of moving boundary problems. The new method improves accuracy and mitigates mesh distortion for complex partial differential equations (PDEs).
Area of Science:
- Biophysics
- Computational Science
- Applied Mathematics
Background:
- Moving boundary problems are crucial in biophysics, often involving complex bulk-surface partial differential equations (PDEs).
- Existing computational frameworks may struggle with interpretability, accuracy, and mesh distortion in these simulations.
Purpose of the Study:
- To develop and validate a new computational framework for simulating moving boundary problems in biophysics.
- To enhance interpretability, accuracy, and mesh distortion control in bulk-surface PDE solvers.
Main Methods:
- Adaptation of a structure preservation scheme for interpretability.
- Integration of an Arbitrary Lagrangian Eulerian (ALE) framework to mitigate mesh distortion.
- Application of a staggered approach for coupling different equation types.
Main Results:
- Demonstrated accuracy of the framework on advection-diffusion-reaction equations, Cahn-Hilliard type phase-field models, and Helfrich energy gradient flows.
- Verified convergence through numerical experiments and convergence studies.
- Successfully simulated biophysical models involving membrane deformation, showcasing broad applicability.
Conclusions:
- The developed computational framework offers an accurate and robust solution for moving boundary problems in biophysics.
- The framework successfully balances interpretability, accuracy, and mesh distortion management.
- This work has broad applicability in simulating complex biophysical phenomena, particularly those involving membrane dynamics.
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