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Validation data for a hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) method
We present the validation of the hybrid sSSA-SDPD method for advection-diffusion-reaction problems coupled to discrete biochemical systems, as presented in the publication “A hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) for advection-diffusion-r...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293021/ https://www.ncbi.nlm.nih.gov/pubmed/30581900 http://dx.doi.org/10.1016/j.dib.2018.11.103 |
_version_ | 1783380480066846720 |
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author | Drawert, Brian Jacob, Bruno Li, Zhen Yi, Tau-Mu Petzold, Linda |
author_facet | Drawert, Brian Jacob, Bruno Li, Zhen Yi, Tau-Mu Petzold, Linda |
author_sort | Drawert, Brian |
collection | PubMed |
description | We present the validation of the hybrid sSSA-SDPD method for advection-diffusion-reaction problems coupled to discrete biochemical systems, as presented in the publication “A hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) for advection-diffusion-reaction problems” (Drawert et al., 2019). We validate 1D diffusion, and 2D diffusion cases against their analytical solutions. We present graphs and tables of data showing the error in the simulation method. |
format | Online Article Text |
id | pubmed-6293021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-62930212018-12-21 Validation data for a hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) method Drawert, Brian Jacob, Bruno Li, Zhen Yi, Tau-Mu Petzold, Linda Data Brief Energy We present the validation of the hybrid sSSA-SDPD method for advection-diffusion-reaction problems coupled to discrete biochemical systems, as presented in the publication “A hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) for advection-diffusion-reaction problems” (Drawert et al., 2019). We validate 1D diffusion, and 2D diffusion cases against their analytical solutions. We present graphs and tables of data showing the error in the simulation method. Elsevier 2018-12-05 /pmc/articles/PMC6293021/ /pubmed/30581900 http://dx.doi.org/10.1016/j.dib.2018.11.103 Text en © 2018 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 | Energy Drawert, Brian Jacob, Bruno Li, Zhen Yi, Tau-Mu Petzold, Linda Validation data for a hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) method |
title | Validation data for a hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) method |
title_full | Validation data for a hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) method |
title_fullStr | Validation data for a hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) method |
title_full_unstemmed | Validation data for a hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) method |
title_short | Validation data for a hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) method |
title_sort | validation data for a hybrid smoothed dissipative particle dynamics (sdpd) spatial stochastic simulation algorithm (sssa) method |
topic | Energy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293021/ https://www.ncbi.nlm.nih.gov/pubmed/30581900 http://dx.doi.org/10.1016/j.dib.2018.11.103 |
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