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

Drawert, Brian; Jacob, Bruno; Li, Zhen; Yi, Tau-Mu; Petzold, Linda.

Afiliação

Drawert B; Department of Computer Science, University of North Carolina at Asheville, Asheville, NC 28804, USA.
Jacob B; Department of Mechanical Engineering, University of California - Santa Barbara, Santa Barbara, CA 93106, USA.
Li Z; Division of Applied Mathematics, Brown University, Providence, RI 02912, USA.
Yi TM; Department of Molecular, Cellular, and Developmental Biology, University of California - Santa Barbara, Santa Barbara, CA 93106, USA.
Petzold L; Department of Mechanical Engineering, University of California - Santa Barbara, Santa Barbara, CA 93106, USA.

Data Brief ; 22: 11-15, 2019 Feb.

Article em En | MEDLINE | ID: mdl-30581900

ABSTRACT

ABSTRACT

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.

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Data Brief Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

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