- Abstract:
-
Two algorithms that combine Brownian dynamics (BD) simulations with mean-field partial differential equations (PDEs) are presented. This PDE-assisted Brownian dynamics (PBD) methodology provides exact particle tracking data in parts of the domain, whilst making use of a mean-field reaction-diffusion PDE description elsewhere. The first PBD algorithm couples BD simulations with PDEs by randomly creating new particles close to the interface which partitions the domain and by reincorporating par...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1137/120882469
-
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- Journal:
- SIAM Journal of Applied Mathematics
- Volume:
- 73
- Issue:
- 3
- Pages:
- 1224-1247
- Publication date:
- 2012-06-26
- DOI:
- EISSN:
-
1095-712X
- ISSN:
-
0036-1399
- URN:
-
uuid:0c11ef45-4944-4d26-9236-d6e259dc2b95
- Source identifiers:
-
341354
- Local pid:
- pubs:341354
- Language:
- English
- Keywords:
- Copyright date:
- 2012
- Notes:
- submitted to SIAM Journal on Applied Mathematics
Journal article
Multiscale reaction-diffusion algorithms: PDE-assisted Brownian dynamics
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