How to Choose a Better Box: Complex Absorbing Potential Optimization for Anionic Resonances

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Authors: Andrei Sanov
Cited by: 0
References: 68

Abstract

Electronic-structure calculations using complex absorbing potentials (CAPs) to stabilize temporary anion states are very sensitive to the CAP configuration, including the coupling strength ( η ) and boundary geometry. We present high-resolution surveys of several two-dimensional parameter spaces (CAP spaces for short) for the CO – ( 2 Π) and N 2 – ( 2 Π g ) resonances and propose an efficient optimization strategy for box-CAPs that relies on Gyamfi and Jagau’s ξ error function [ J. Chem. Theory Comput. 2024, 20, 1096–1107]. In all CAP spaces probed, only narrow parameter ranges yield the highest-quality results ( ξ ∼ 10 –4 –10 –5 ) that minimize wave function reflections and perturbations. Such optimal conditions are unlikely to be found by ad hoc methods, necessitating a systematic optimization protocol. Ours begins with ( η, r o ) L optimization trajectories, where r o is a geometric variable controlling the CAP boundary and L is a distinct parameter such as the box elongation. Unlike extensively studied η - and r o -trajectories, the ( η, r o ) L trajectories are optimum-seeking paths in two-dimensional CAP spaces searching for ξ minima. After optimizing CAPs across multiple ( η, r o ) L spaces with varying L, CAP strength minimization along the L -trajectory defines the overall optimal configuration in the higher-dimensional ( η, r o, L ) space. This hierarchical optimization, min ξ ≻ min η (where “≻” denotes lexicographic precedence), produces a low-error description of the resonance (min ξ ) stabilized by the weakest (but sufficient) CAP possible, i.e., min η subject to the min ξ constraint.

Fields of Study & Subjects

Advanced Chemical Physics Studies Atomic and Molecular Physics Advanced Physical and Chemical Molecular Interactions

Publication details

Journal / source
The Journal of Physical Chemistry A
Volume
130
Issue
10
Pages
2112–2125
Publication date
3 March 2026
Language
EN