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Pushing the limit for the grid-based treatment of Schrödinger's equation: a sparse Numerov approach for one, two and three dimensional quantum problems.

シュレーディンガー方程式の格子法における限界突破:1次元・2次元・3次元量子問題に対するスパースNumerov法

other not specified not assessed

Abstract

This study presents a modified Numerov approach tailored for numerical solutions of Schrödinger's equation. A hierarchy of new stencil expressions for the Laplace operator was developed across one, two, and three dimensions, simplifying the standard Numerov scheme. By exploiting matrix sparsity, both memory requirements and computation time were substantially reduced, extending applicability to larger quantum systems. Validation was performed using harmonic and Morse potential problems in one and two dimensions. Vibrational frequencies of molecular hydrogen and water were computed with explicit inclusion of anharmonicity, mode-mode coupling, and nuclear quantum effects. Tunneling splitting in malonaldehyde was also evaluated as a representative two-dimensional problem.

Mechanism

Novel stencil expressions for the Laplace operator combined with sparse matrix techniques reduce memory and computational demands, enabling the Numerov method to handle larger quantum mechanical problems including molecular hydrogen vibrational analysis.

Bibliographic

Authors
Kuenzer U, Sorarù JA, Hofer TS
Journal
Phys Chem Chem Phys
Year
2016 (2016-11-23)
PMID
27831582
DOI
10.1039/c6cp06698d

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Delivery context

The delivery route is not clearly identifiable from this paper. For hydrogen intake, inhalation is the most efficient route; inhalation, however, carries explosion risk (empirical LFL of 10%; high-concentration devices are not recommended).

Safety notes

The delivery route is not clearly identifiable from this paper. For hydrogen intake, inhalation is the most efficient route; inhalation, however, carries explosion risk (empirical LFL of 10%; high-concentration devices are not recommended).

See also:

Cite as: H2 Papers — PMID 27831582. https://h2-papers.org/en/papers/27831582
Source: PubMed PMID 27831582