Book contents
- Frontmatter
- Contents
- Preface
- 1 Stochastic Simulation of Chemical Reactions
- 2 Deterministic versus Stochastic Modelling
- 3 Stochastic Differential Equations
- 4 Diffusion
- 5 Efficient Stochastic Modelling of Chemical Reactions
- 6 Stochastic Reaction–Diffusion Models
- 7 SSAs for Reaction–Diffusion–Advection Processes
- 8 Microscopic Models of Brownian Motion
- 9 Multiscale and Multi-Resolution Methods
- Appendix
- References
- Index
4 - Diffusion
Published online by Cambridge University Press: 04 November 2019
- Frontmatter
- Contents
- Preface
- 1 Stochastic Simulation of Chemical Reactions
- 2 Deterministic versus Stochastic Modelling
- 3 Stochastic Differential Equations
- 4 Diffusion
- 5 Efficient Stochastic Modelling of Chemical Reactions
- 6 Stochastic Reaction–Diffusion Models
- 7 SSAs for Reaction–Diffusion–Advection Processes
- 8 Microscopic Models of Brownian Motion
- 9 Multiscale and Multi-Resolution Methods
- Appendix
- References
- Index
Summary
This chapter presents stochastic models of molecular diffusion together with some important properties of the diffusion process. Diffusion models based on both position-jump processes and velocity-jump processes are analysed. The position-jump processes include the SDE-based approach (introduced in Chapter 3) together with the compartment-based (lattice-based) modelling, described by the diffusion master equation. Boundary conditions for the diffusion process are then discussed, including systems in which molecules are adsorbed by surfaces and models with a chemically reactive boundary. The Einstein–Smoluchowski relation between the diffusion constant and the size of the molecule is derived.
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- Stochastic Modelling of Reaction–Diffusion Processes , pp. 95 - 136Publisher: Cambridge University PressPrint publication year: 2020