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Analysis of the Distribution and Influencing Factors of Diffusion Coefficient Model Parameters Based on Molecular Dynamics Simulations

[Image: see text] The establishment of mathematical models to predict the diffusion coefficients of gas and liquid systems have important theoretical significance and practical value. In this work, based on the previously proposed diffusion coefficient model D(LV), the distribution and influencing f...

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Autores principales: Sun, Wenting, Chen, Xia, Wu, Lianying, Hu, Yangdong, Zhang, Weitao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308390/
https://www.ncbi.nlm.nih.gov/pubmed/37396225
http://dx.doi.org/10.1021/acsomega.3c00754
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author Sun, Wenting
Chen, Xia
Wu, Lianying
Hu, Yangdong
Zhang, Weitao
author_facet Sun, Wenting
Chen, Xia
Wu, Lianying
Hu, Yangdong
Zhang, Weitao
author_sort Sun, Wenting
collection PubMed
description [Image: see text] The establishment of mathematical models to predict the diffusion coefficients of gas and liquid systems have important theoretical significance and practical value. In this work, based on the previously proposed diffusion coefficient model D(LV), the distribution and influencing factors of the model parameters characteristic length (L) and diffusion velocity (V) were further investigated using molecular dynamics simulations. The statistical analysis of L and V for 10 gas systems and 10 liquid systems was presented in the paper. New distribution functions were established to describe the probability distributions of molecular motion L and V. The mean values of the correlation coefficients were 0.98 and 0.99, respectively. Meanwhile, the effects of molecular molar mass and system temperature on the molecular diffusion coefficients were discussed. The results show that the effect of molecular molar mass on the diffusion coefficient mainly affects the molecular motion L, and the effect of system temperature on the diffusion coefficient mainly affects V. For the gas system, the average relative deviation of D(LV) and D(MSD) is 10.73% and that of D(LV) and experimental value is 12.63%; for the solution system, the average relative deviation of D(LV) and D(MSD) is 12.93% and that of D(LV) and experimental value is 18.86%, which indicates the accuracy of the new model results. The new model reveals the potential mechanism of molecular motion and provides a theoretical basis for further study of the diffusion process.
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spelling pubmed-103083902023-06-30 Analysis of the Distribution and Influencing Factors of Diffusion Coefficient Model Parameters Based on Molecular Dynamics Simulations Sun, Wenting Chen, Xia Wu, Lianying Hu, Yangdong Zhang, Weitao ACS Omega [Image: see text] The establishment of mathematical models to predict the diffusion coefficients of gas and liquid systems have important theoretical significance and practical value. In this work, based on the previously proposed diffusion coefficient model D(LV), the distribution and influencing factors of the model parameters characteristic length (L) and diffusion velocity (V) were further investigated using molecular dynamics simulations. The statistical analysis of L and V for 10 gas systems and 10 liquid systems was presented in the paper. New distribution functions were established to describe the probability distributions of molecular motion L and V. The mean values of the correlation coefficients were 0.98 and 0.99, respectively. Meanwhile, the effects of molecular molar mass and system temperature on the molecular diffusion coefficients were discussed. The results show that the effect of molecular molar mass on the diffusion coefficient mainly affects the molecular motion L, and the effect of system temperature on the diffusion coefficient mainly affects V. For the gas system, the average relative deviation of D(LV) and D(MSD) is 10.73% and that of D(LV) and experimental value is 12.63%; for the solution system, the average relative deviation of D(LV) and D(MSD) is 12.93% and that of D(LV) and experimental value is 18.86%, which indicates the accuracy of the new model results. The new model reveals the potential mechanism of molecular motion and provides a theoretical basis for further study of the diffusion process. American Chemical Society 2023-06-12 /pmc/articles/PMC10308390/ /pubmed/37396225 http://dx.doi.org/10.1021/acsomega.3c00754 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Sun, Wenting
Chen, Xia
Wu, Lianying
Hu, Yangdong
Zhang, Weitao
Analysis of the Distribution and Influencing Factors of Diffusion Coefficient Model Parameters Based on Molecular Dynamics Simulations
title Analysis of the Distribution and Influencing Factors of Diffusion Coefficient Model Parameters Based on Molecular Dynamics Simulations
title_full Analysis of the Distribution and Influencing Factors of Diffusion Coefficient Model Parameters Based on Molecular Dynamics Simulations
title_fullStr Analysis of the Distribution and Influencing Factors of Diffusion Coefficient Model Parameters Based on Molecular Dynamics Simulations
title_full_unstemmed Analysis of the Distribution and Influencing Factors of Diffusion Coefficient Model Parameters Based on Molecular Dynamics Simulations
title_short Analysis of the Distribution and Influencing Factors of Diffusion Coefficient Model Parameters Based on Molecular Dynamics Simulations
title_sort analysis of the distribution and influencing factors of diffusion coefficient model parameters based on molecular dynamics simulations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308390/
https://www.ncbi.nlm.nih.gov/pubmed/37396225
http://dx.doi.org/10.1021/acsomega.3c00754
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