The Poisson-Boltzmann equation offers an efficient way to study electrostatics in molecular settings. Its numerical solution with the boundary element method is widely used, as the complicated molecular surface is accurately represented by the mesh, and the point charges are accounted for explicitly. In fact, there are several well-known boundary integral formulations available in the literature. This work presents a generalized expression of the boundary integral representation of the implicit solvent model, giving rise to new forms to compute the electrostatic potential. Moreover, it proposes a strategy to build efficient preconditioners for any of the resulting systems, improving the convergence of the linear solver. We perform systematic benchmarking of a set of formulations and preconditioners, focusing on the time to solution, matrix conditioning, and eigenvalue spectrum. We see that the eigenvalue clustering is a good indicator of the matrix conditioning, and show that they can be easily manipulated by scaling the preconditioner. Our results suggest that the optimal choice is problem-size dependent, where a simpler direct formulation is the fastest for small molecules, but more involved second-kind equations are better for larger problems. We also present a fast Calder\'on preconditioner for first-kind formulations, which shows promising behavior for future analysis. This work sets the basis towards choosing the most convenient boundary integral formulation of the Poisson-Boltzmann equation for a given problem.
翻译:Poisson-Boltzmann 方程式为分子环境中的电阻学提供了一种有效的研究方法。 它与边界元素法的数值解决方案被广泛使用, 因为复杂的分子表面由网状表示准确, 点值被明确计算。 事实上, 文献中有几种众所周知的边界整体配方。 这项工作是隐含溶剂模型边界整体代表法的普遍表达法, 从而产生计算电静潜力的新形式。 此外, 它提出了一个战略, 为由此产生的任何系统建立有效的先决条件, 改善线性溶剂的趋同。 我们对一套配方和先决条件进行系统化基准, 重点是解决问题、 矩阵调节和电子价值频谱的时间。 我们认为, 精度组合是矩阵调节的良好指标, 并表明它们很容易通过缩放前提来被操纵。 我们的结果表明, 最佳选择的大小取决于问题大小, 最简单的直接配方是小分子最快的, 但涉及的二等方程式对于更大的问题更好。 我们还对一系列配方程式进行了系统化基准, 并且为未来方程式选择一个最有希望的公式基础。 我们提出了一个快速的Coldal\ B 的立方程式模型, 基础, 为未来的方程式分析。