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基于色散荧光光谱获取双原子分子势能曲线的遗传算法

Genetic algorithm for obtaining potential energy curve of diatomic molecules based on dispersed fluorescence spectra.

作者信息

Urbańczyk Tomasz, Koperski Jarosław, Kaszewski Gabriel, Synak Mikołaj, Swenda Jakub, Krośnicki Marek

机构信息

Smoluchowski Intitute of Physics, Jagiellonian University in Krakow, Łojasiewicza 11, 30-348, Kraków, Poland.

Institute of Theoretical Physics and Astrophysics, Faculty of Mathematics, Physics and Informatics, University of Gdańsk, Wita Stwosza 57, 80-308, Gdańsk, Poland.

出版信息

Sci Rep. 2023 Oct 13;13(1):17413. doi: 10.1038/s41598-023-44488-7.

DOI:10.1038/s41598-023-44488-7
PMID:37833398
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10576034/
Abstract

The method for reconstruction of an adiabatic potential energy curve from experimental dispersed fluorescence spectra has been developed. The novelty of the method relies on a unique approach of simultaneous use of [Formula: see text] and [Formula: see text] parts of the spectrum. The method is based on the Genetic Algorithm (GA) procedure and determines potential energy curve integrally, below and above the dissociation energy limit. The method was tested on the artificially generated reference spectrum as well as experimental spectrum of [Formula: see text] transition in Hg[Formula: see text]. The tests show very good accuracy of simulation based on GA results with artificially generated reference spectrum as well as with the experimental one.

摘要

一种从实验分散荧光光谱重建绝热势能曲线的方法已经被开发出来。该方法的新颖之处在于一种独特的方法,即同时使用光谱的[公式:见原文]和[公式:见原文]部分。该方法基于遗传算法(GA)程序,能整体确定解离能极限以下和以上的势能曲线。该方法在人工生成的参考光谱以及汞[公式:见原文]中[公式:见原文]跃迁的实验光谱上进行了测试。测试表明,基于GA结果,无论是对于人工生成的参考光谱还是实验光谱,模拟的准确性都非常高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/69433775fa83/41598_2023_44488_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/cb33efa78946/41598_2023_44488_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/85a4ee627724/41598_2023_44488_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/ac2c14475145/41598_2023_44488_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/70e609f2ef1d/41598_2023_44488_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/6433ee2cdac8/41598_2023_44488_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/c19772c2b2ae/41598_2023_44488_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/69433775fa83/41598_2023_44488_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/cb33efa78946/41598_2023_44488_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/85a4ee627724/41598_2023_44488_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/ac2c14475145/41598_2023_44488_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/70e609f2ef1d/41598_2023_44488_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/6433ee2cdac8/41598_2023_44488_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/c19772c2b2ae/41598_2023_44488_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c647/10576034/69433775fa83/41598_2023_44488_Fig7_HTML.jpg

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本文引用的文献

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Sci Rep. 2022 Sep 7;12(1):15188. doi: 10.1038/s41598-022-19179-4.
2
Array programming with NumPy.使用 NumPy 进行数组编程。
Nature. 2020 Sep;585(7825):357-362. doi: 10.1038/s41586-020-2649-2. Epub 2020 Sep 16.
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A highly accurate potential energy curve for the mercury dimer.高精度的汞二聚体势能曲线。
J Chem Phys. 2010 Mar 21;132(11):114301. doi: 10.1063/1.3354976.
4
SAGA: sequence alignment by genetic algorithm.SAGA:通过遗传算法进行序列比对。
Nucleic Acids Res. 1996 Apr 15;24(8):1515-24. doi: 10.1093/nar/24.8.1515.