Research Workshop: Lattice Boltzmann at all-scales: from turbulence to DNA translocation,
Centre for Mathematical Modelling, 15 November 2006, 10:00-16:30, University of
Leicester, Leicester, UK
The lattice Boltzmann (LB)
method was developed nearly two decades ago as an alternative strategy for the
numerical solution of the Navier-Stokes equations of fluid dynamics. By and
large, this task has met with significant success, to the point that, as of
today, LB is routinely used for the numerical investigation of a wide range of
macroscopic flows, from multiphase flows in porous media, to fully-developed
turbulent flows in complex geometries.
Distinguished Lecture: Lattice Boltzmann at all-scales: from
turbulence to DNA translocation; Sauro Succi. 15 November 2006, 17:00,
Lecture Theatre 1,
In this Lecture, after a
brief review of the basic ideas behind the LB theory, we shall discuss these
ongoing developments, and present some very recent applications to micro and
nanofluidics, such as drag reduction via superhydrophobicity and hydrodynamic
effects on DNA translocation.
August
24-26, 2006,
The problems of Large
Data Sets analysis and visualisation, model reduction and the struggle with
complexity of data sets are important for many areas of human activity.
There exist many scientific and engineering communities that attack these
problems from their own sides, and now special efforts are needed to organize
communication between these groups, to support exchange of ideas and technology
transfer among them. Heuristic algorithms and seminal ideas come from all
application fields and from mathematics also, and mathematics has a special
responsibility to find a solid basis for heuristics, to transform ideas into
exact knowledge, and to transfer the resulting ideal technology to all the
participants of the struggle with complexity.
The
workshop “Principal manifolds for data
cartography and dimension reduction,” will be focused on modern theory
and methodology of geometric data analysis and model reduction. Mathematicians,
engineers, software developers and advanced users form different areas of
applications will attend this workshop. Most participants will attend both
workshops, and it is important to organise them together, in one place, in one
week.
Research
workshop:
Geometry of Genome:
Visualization
of Structures Hidden in Genomic Sequences.
The
post-genomic era is characterized by the knowledge of hundreds of completed
genomic sequences. Analysis of these sequences shows that there are common
principles of organization of sequence information. Some of the most powerful
methods available for understanding these principles are based on the geometric representation of genome features. That is, one can study properties of
genomic sequences by representing them in multidimensional spaces defined by
their local properties. In most cases these representations appear to be
structured and organized in a complex hierarchical way. Methods
from a variety of scientific disciplines, such as dimensional
reduction and data visualization, as well as methods dealing with the geometry
of multidimensional spaces help to detect and analyze the structures. The geometric representation is also an important tool for data mining.
Research workshop:
"Model
Reduction and Coarse-Graining Approaches for Multiscale Phenomena"
The
theme of the workshop is deliberately broad in scope and aims at promoting an
informal exchange of new ideas and fresh methodological perspectives in the
increasingly important area of model reduction and coarse graining for
multiscale phenomena.
Research
workshop:
"Invariance
and Model Reduction for Multiscale Phenomena," ETH,
The
main thematic areas of the workshop:
1) Invariant and Inertial Manifolds: Theoretical and Computational Approaches
2) Invariance and Model Reduction: Theoretical and Computational Approaches
3) Specific areas of study represented in the workshop: Non-equilibrium
statistical mechanics, kinetic theory, hydrodynamics and mechanics of
continuous media, (bio)chemical kinetics, nonlinear control theory, nonlinear
estimation theory, perturbation theory, classical mechanics, coarse-graining
approaches