Fast Newton Iterative Method for Local Steric Poisson--Boltzmann Theories in Biomolecular Solvation
Minhong Chen, Wei Dou, and Shenggao Zhou

TL;DR
This paper introduces a fast, efficient Newton iterative method with truncation and precomputing strategies for solving local steric Poisson--Boltzmann equations, improving biomolecular solvation modeling accuracy and speed.
Contribution
It develops a novel iterative approach with rigorous analysis and a precomputing-interpolation strategy for local steric PB theories, enhancing computational efficiency and stability.
Findings
Method achieves local quadratic convergence.
Counterions with steric effects stratify by ionic valence-to-volume ratio.
Proposed methods can be integrated into classical PB solvers.
Abstract
This work proposes a fast iterative method for local steric Poisson--Boltzmann (PB) theories, in which the electrostatic potential is governed by the Poisson's equation and ionic concentrations satisfy equilibrium conditions. To present the method, we focus on a local steric PB theory derived from a lattice-gas model, as an example. The advantages of the proposed method in efficiency are achieved by treating ionic concentrations as scalar implicit functions of the electrostatic potential, though such functions are only numerically achievable. The existence, uniqueness, boundness, and smoothness of such functions are rigorously established. A Newton iteration method with truncation is proposed to solve a nonlinear system discretized from the generalized PB equations. The existence and uniqueness of the solution to the discretized nonlinear system are established by showing that it is a…
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Taxonomy
TopicsNanopore and Nanochannel Transport Studies · Electrostatics and Colloid Interactions · Microfluidic and Bio-sensing Technologies
