A Compact Coupling Interface Method with Accurate Gradient Approximation for Elliptic Interface Problems
Ray Zirui Zhang, Li-Tien Cheng

TL;DR
The paper introduces CCIM, a finite difference method that achieves second-order accuracy in both solution and gradient approximations for elliptic interface problems, improving robustness and compactness over previous methods.
Contribution
It presents a novel Compact Coupling Interface Method that combines elements of existing techniques to provide accurate gradient approximations with a more compact stencil.
Findings
Achieves second-order accuracy in solution and gradients
Demonstrates robustness on complex biomolecular surfaces
Uses a more compact stencil than previous methods
Abstract
We propose the Compact Coupling Interface Method (CCIM), a finite difference method capable of obtaining second-order accurate approximations of not only solution values but their gradients, for elliptic complex interface problems with interfacial jump conditions. Such elliptic interface boundary value problems with interfacial jump conditions are a critical part of numerous applications in fields such as heat conduction, fluid flow, materials science, and protein docking, to name a few. A typical example involves the construction of biomolecular shapes, where such elliptic interface problems are in the form of linearized Poisson-Boltzmann equations, involving discontinuous dielectric constants across the interface, that govern electrostatic contributions. Additionally, when interface dynamics are involved, the normal velocity of the interface might be comprised of the normal…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Lattice Boltzmann Simulation Studies · Computational Fluid Dynamics and Aerodynamics
