Prof. Radek Erban | Mathematical Institute

Prof. Radek Erban

Status:

Academic Faculty

Contact form

Personal website:

http://people.maths.ox.ac.uk/erban/

+44 1865 615134

ORCID iD:

https://orcid.org/0000-0001-8470-3763

Research groups:

Address

Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG

Highlighted Publications:

Coupling all-atom molecular dynamics simulations of ions in water with Brownian dynamics.

Coupling all-atom molecular dynamics simulations of ions in water with Brownian dynamics.
Erban, R
Proceedings. Mathematical, physical, and engineering sciences issue 2186 volume 472 page 20150556- (February 2016)

The two-regime method for optimizing stochastic reaction-diffusion simulations.

The two-regime method for optimizing stochastic reaction-diffusion simulations.
Flegg, M; Chapman, S; Erban, R
J R Soc Interface issue 70 volume 9 page 859-868 (7 May 2012) Full text available

Stochastic modelling of reaction-diffusion processes: algorithms for bimolecular reactions.

Stochastic modelling of reaction-diffusion processes: algorithms for bimolecular reactions.
Erban, R; Chapman, S
Phys Biol issue 4 volume 6 page 046001- (21 August 2009) Full text available

Reactive boundary conditions for stochastic simulations of reaction-diffusion processes

Reactive boundary conditions for stochastic simulations of reaction-diffusion processes
Erban, R; S.J. Chapman
Physical Biology issue 1 volume 4 page 16-28 (24 January 2007)

From individual to collective behavior in bacterial chemotaxis

From individual to collective behavior in bacterial chemotaxis
Erban, R; H.G. Othmer
SIAM Journal on Applied Mathematics issue 65 volume 2 page 361-391 (2004)

From Molecular Dynamics to Brownian Dynamics

From Molecular Dynamics to Brownian Dynamics
Erban, R
Proceedings. Mathematical, physical, and engineering sciences issue 2167 volume 470 page 20140036- (July 2014) Full text available

Analysis of a stochastic chemical system close to a SNIPER bifurcation of its mean-field model

Analysis of a stochastic chemical system close to a SNIPER bifurcation of its mean-field model
Erban, R; Chapman, S; Kevrekidis, I; Vejchodsky, T
SIAM JOURNAL ON APPLIED MATHEMATICS issue 3 volume 70 page 984-1016 (2009) Full text available

Recent Publications:

Multiscale Stochastic Reaction-Diffusion Algorithms Combining Markov Chain Models with Stochastic Partial Differential Equations.

Multiscale Stochastic Reaction-Diffusion Algorithms Combining Markov Chain Models with Stochastic Partial Differential Equations.
Kang, H; Erban, R
Bulletin of mathematical biology issue 8 volume 81 page 3185-3213 (August 2019)

Multi-resolution dimer models in heat baths with short-range and long-range interactions

Multi-resolution dimer models in heat baths with short-range and long-range interactions
Gunaratne, R; Wilson, D; Flegg, M; ERBAN, R
Interface Focus (19 April 2019)

Noise-induced Mixing and Multimodality in Reaction Networks

Noise-induced Mixing and Multimodality in Reaction Networks
Plesa, T; Erban, R; Othmer, H
European Journal of Applied Mathematics (18 September 2018) Full text available

Varying the resolution of the Rouse model on temporal and spatial scales: application to multiscale modelling of DNA dynamics

Varying the resolution of the Rouse model on temporal and spatial scales: application to multiscale modelling of DNA dynamics
Rolls, E; Togashi, Y; Erban, R
SIAM: Multiscale Modeling and Simulation (16 November 2017)

ADM-CLE APPROACH FOR DETECTING SLOW VARIABLES IN CONTINUOUS TIME MARKOV CHAINS AND DYNAMIC DATA

ADM-CLE APPROACH FOR DETECTING SLOW VARIABLES IN CONTINUOUS TIME MARKOV CHAINS AND DYNAMIC DATA
Cucuringu, M; Erban, R
SIAM JOURNAL ON SCIENTIFIC COMPUTING issue 1 volume 39 page B76-B101 (2017) Full text available

Research interests:

Applied Mathematics, Mathematical Biology, Multiscale Modelling, Partial Differential Equations, Stochastic Simulation Algorithms, Gene Regulatory Networks, Chemotaxis, Collective Animal Behaviour

Major / recent publications:

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