JOURNAL ARTICLE
Solving the one-dimensional time-independent Schrödinger equation with high accuracy: The LagrangeMesh Mathematica® package.
Published In: International Journal of Modern Physics C: Computational Physics & Physical Computation, 2024, v. 35, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: del Valle, J. C. 3 of 3
Abstract
In order to find the spectrum associated with the one-dimensional Schrödinger equation, we discuss the Lagrange Mesh Method (LMM) and its numerical implementation. After presenting a general overview of the theory behind the LMM, we introduce the LagrangeMesh package: the numerical implementation of the LMM in Mathematica ® . Using few lines of code, the package enables a quick home-computer and highly accurate computation of the spectrum and provides a practical tool to study a large class of systems in quantum mechanics. The main properties of the package are (i) the input is the potential function and the interval on which it is defined; and (ii) the accuracy in calculations and final results is controllable by the user. Due to its high accuracy and simple usage, the package may be used as a research and educational tool. As illustration, a highly accurate spectrum of some relevant quantum systems is obtained by employing the commands that the package offers. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Modern Physics C: Computational Physics & Physical Computation. 2024/01, Vol. 35, Issue 1, p1
- Document Type:Article
- Subject Area:Physics
- Publication Date:2024
- ISSN:0129-1831
- DOI:10.1142/S0129183124500116
- Accession Number:173743470
- Copyright Statement:Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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