Model Reduction and Coarse-Graining Approaches for Multiscale Phenomena
 

 

 

 

Organising Committee

A. Gorban (Leicester)

B. Leimkuhler (Leicester)

I. Karlin (Zurich)

H.C. Ottinger (Zurich)

N. Kazantzis (Worcester)

A. Stuart (Warwick)

Y. Kevrekidis (Princeton)

K. Theodoropoulos (Manchester)

 

CONTACT ADDRESS:

Prof. Alexander Gorban

Email: ag153@le.ac.uk

Tel.: +44 (0) 116 223 14 33

Department of Mathematics,

University of Leicester

University Road,

Leicester LE1 7RH, UK

 

Participation of research students at UK universities

is supported by the London Mathematical Society

 

The theme of the workshop is deliberately broad in scope and aims to promote an informal exchange of new ideas and fresh methodological perspectives in the increasingly important area of model reduction and coarse graining for multiscale phenomena.

The main thematic areas of the workshop in theoretical and computational approaches are:

·     Invariance and model reduction (invariant manifolds for ODE and PDE, perturbation theory and application for model reduction);

·     Coarse-graining approaches;

·     Accuracy estimation and post-processing algorithms.

Specific areas of study represented in the workshop include dynamical systems, non-equilibrium statistical mechanics, kinetic theory, hydrodynamics and mechanics of continuous media, (bio)chemical kinetics, particulate systems, nonlinear dynamics, nonlinear control, and nonlinear estimation.

The goal of this initiative is to assemble a group of people reflecting the thematically interdisciplinary nature of the workshop, to organise a series of presentations and to encourage discussions in an informal, casual and "interactive" format that fosters and facilitates a fruitful dialogue across disciplines. 

The generic nature and the power of the pertinent conceptual, analytical and computational frameworks helped eliminate some of the traditional language barriers that, unnecessarily, sometimes, impede scientific cooperation and interaction of researchers across disciplines such as physics, chemistry, biology, applied mathematics and engineering.