Electrostatic Point Charge Fitting as an Inverse Problem: Revealing the Underlying Ill-Conditioning
Maxim V. Ivanov, Marat R. Talipov, and Qadir K. Timerghazin

TL;DR
This paper analyzes the ill-conditioning in atom-centered point charge fitting for molecular electrostatics, revealing its intrinsic nature and proposing an analytical Lebedev grid model as a potential solution and alternative to multipole expansions.
Contribution
It introduces an analytical Lebedev grid model to understand and mitigate the ill-conditioning in point charge fitting, offering a new approach for electrostatic modeling.
Findings
Ill-conditioning arises from eigenvector curvature decay in the Hessian matrix.
Lebedev grid model reproduces multipole moments up to a certain rank.
Insights enable alleviation of ill-conditioning without external restraints.
Abstract
Atom-centered point charge model of the molecular electrostatics---a major workhorse of the atomistic biomolecular simulations---is usually parameterized by least-squares (LS) fitting of the point charge values to a reference electrostatic potential, a procedure that suffers from numerical instabilities due to the ill-conditioned nature of the LS problem. Here, to reveal the origins of this ill-conditioning, we start with a general treatment of the point charge fitting problem as an inverse problem, and construct an analytically soluble model with the point charges spherically arranged according to Lebedev quadrature naturally suited for the inverse electrostatic problem. This analytical model is contrasted to the atom-centered point-charge model that can be viewed as an irregular quadrature poorly suited for the problem. This analysis shows that the numerical problems of the point…
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.
