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Python script for homogeneous aqueous chemical reaction analysis and associated data related to radiolysis simulations

A script was developed to perform homogenous radiolysis calculations. It was used specifically to calculate radiolysis products under various neutron and gamma flux environments [1]. The routine may be used to calculate a single radiolysis condition, multiple independent conditions, or multiple cond...

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Detalles Bibliográficos
Autores principales: Doyle, Peter, Bartels, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260427/
https://www.ncbi.nlm.nih.gov/pubmed/32490090
http://dx.doi.org/10.1016/j.dib.2020.105734
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author Doyle, Peter
Bartels, David
author_facet Doyle, Peter
Bartels, David
author_sort Doyle, Peter
collection PubMed
description A script was developed to perform homogenous radiolysis calculations. It was used specifically to calculate radiolysis products under various neutron and gamma flux environments [1]. The routine may be used to calculate a single radiolysis condition, multiple independent conditions, or multiple conditions computed in series (the final concentration set of run i is the initial concentration of run i+1). While designed for radiolysis of water, the routine is easily adapted to a variety of aqueous reaction systems and may even be altered with minimal effort for more general homogenous chemical analysis. In the present article, the Python routine is explained along with various outputs and inputs. It and the relevant input and output text files are included as supplementary materials. They are the raw data used for calculation of figures in the associated journal article.
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spelling pubmed-72604272020-06-01 Python script for homogeneous aqueous chemical reaction analysis and associated data related to radiolysis simulations Doyle, Peter Bartels, David Data Brief Chemistry A script was developed to perform homogenous radiolysis calculations. It was used specifically to calculate radiolysis products under various neutron and gamma flux environments [1]. The routine may be used to calculate a single radiolysis condition, multiple independent conditions, or multiple conditions computed in series (the final concentration set of run i is the initial concentration of run i+1). While designed for radiolysis of water, the routine is easily adapted to a variety of aqueous reaction systems and may even be altered with minimal effort for more general homogenous chemical analysis. In the present article, the Python routine is explained along with various outputs and inputs. It and the relevant input and output text files are included as supplementary materials. They are the raw data used for calculation of figures in the associated journal article. Elsevier 2020-05-18 /pmc/articles/PMC7260427/ /pubmed/32490090 http://dx.doi.org/10.1016/j.dib.2020.105734 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Chemistry
Doyle, Peter
Bartels, David
Python script for homogeneous aqueous chemical reaction analysis and associated data related to radiolysis simulations
title Python script for homogeneous aqueous chemical reaction analysis and associated data related to radiolysis simulations
title_full Python script for homogeneous aqueous chemical reaction analysis and associated data related to radiolysis simulations
title_fullStr Python script for homogeneous aqueous chemical reaction analysis and associated data related to radiolysis simulations
title_full_unstemmed Python script for homogeneous aqueous chemical reaction analysis and associated data related to radiolysis simulations
title_short Python script for homogeneous aqueous chemical reaction analysis and associated data related to radiolysis simulations
title_sort python script for homogeneous aqueous chemical reaction analysis and associated data related to radiolysis simulations
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260427/
https://www.ncbi.nlm.nih.gov/pubmed/32490090
http://dx.doi.org/10.1016/j.dib.2020.105734
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