一种混合平滑耗散粒子动力学（SDPD）空间随机模拟算法（sSSA）方法的验证数据。
Validation data for a hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) method.
作者信息
Drawert Brian, Jacob Bruno, Li Zhen, Yi Tau-Mu, Petzold Linda
机构信息
Department of Computer Science, University of North Carolina at Asheville, Asheville, NC 28804, USA.
Department of Mechanical Engineering, University of California - Santa Barbara, Santa Barbara, CA 93106, USA.
出版信息
Data Brief. 2018 Dec 5;22:11-15. doi: 10.1016/j.dib.2018.11.103. eCollection 2019 Feb.
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.
我们展示了用于与离散生化系统耦合的平流-扩散-反应问题的混合sSSA-SDPD方法的验证，如发表在《用于平流-扩散-反应问题的混合平滑耗散粒子动力学（SDPD）空间随机模拟算法（sSSA）》（Drawert等人，2019年）一文中所述。我们针对其一维扩散和二维扩散情况的解析解进行了验证。我们展示了数据图表，这些图表显示了模拟方法中的误差。
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