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
This dissertation deals with complex and multi-scale biological processes. In general, these phenome...
In this paper, an algorithm is presented to calculate the transition rates between adjacent mesoscop...
Several stochastic simulation algorithms (SSAs) have been recently proposed for modelling reaction-d...
We present the validation of the hybrid sSSA-SDPD method for advection-diffusion-reaction problems c...
We have developed a new algorithm which merges discrete stochastic simulation, using the spatial sto...
Spatial distributions characterize the evolution of reaction-diffusion models of several physical, c...
Spatial reaction-diffusion models have been employed to describe many emergent phenomena in biologic...
This paper introduces HRSSA (Hybrid Rejection-based Stochastic simulation Algorithm), a new efficien...
Motivation: We compare stochastic computational methods accounting for space and discrete nature of ...
Italy 2Department of Computer Science, University of Pisa, Pisa, Italy Correspondence Luca Marchetti...
This paper introduces HRSSA (Hybrid Rejection-based Stochastic Simulation Algorithm), a new efficien...
International audienceSmoothed Dissipative Particle Dynamics (SDPD) is a mesoscopic particle method ...
Parallelization is vital in the future of spatial stochastic simulation and an important component o...
Spatial organization and noise play an important role in molecular systems biology. In recent years,...
The computer simulation of stochastic reaction-diffusion processes in biology is often done using ei...
This dissertation deals with complex and multi-scale biological processes. In general, these phenome...
In this paper, an algorithm is presented to calculate the transition rates between adjacent mesoscop...
Several stochastic simulation algorithms (SSAs) have been recently proposed for modelling reaction-d...
We present the validation of the hybrid sSSA-SDPD method for advection-diffusion-reaction problems c...
We have developed a new algorithm which merges discrete stochastic simulation, using the spatial sto...
Spatial distributions characterize the evolution of reaction-diffusion models of several physical, c...
Spatial reaction-diffusion models have been employed to describe many emergent phenomena in biologic...
This paper introduces HRSSA (Hybrid Rejection-based Stochastic simulation Algorithm), a new efficien...
Motivation: We compare stochastic computational methods accounting for space and discrete nature of ...
Italy 2Department of Computer Science, University of Pisa, Pisa, Italy Correspondence Luca Marchetti...
This paper introduces HRSSA (Hybrid Rejection-based Stochastic Simulation Algorithm), a new efficien...
International audienceSmoothed Dissipative Particle Dynamics (SDPD) is a mesoscopic particle method ...
Parallelization is vital in the future of spatial stochastic simulation and an important component o...
Spatial organization and noise play an important role in molecular systems biology. In recent years,...
The computer simulation of stochastic reaction-diffusion processes in biology is often done using ei...
This dissertation deals with complex and multi-scale biological processes. In general, these phenome...
In this paper, an algorithm is presented to calculate the transition rates between adjacent mesoscop...
Several stochastic simulation algorithms (SSAs) have been recently proposed for modelling reaction-d...