Seng Cheang (PhD, Synchronisation)
Gary Willis (PhD, Wetting)
Christopher Rochester (PhD, Electrolytes in pores)
Research Interests and Projects:
The field theory of SOC
Ever since Bak, Tang and Wiesenfeld conceived Self-Organised
Criticality
(SOC) 25 years ago, its most fundamental features have remained a
mystery: How does Self-Organised Criticality work? Why do these
systems
organise themselves to a critical point? How can we estimate their
universal features? The most powerful tool of statistical mechanics,
the renormalisation group, could not be deployed effectively, as the
systems displaying SOC are not easy to cast in the language of field
theory. It turns out this can be done for the Manna Model
and
the resulting field theory allows us to understand how SOC comes about. Above
the upper critical dimension, the underlying mean-field theory can be
extracted and solved in closed form. Non-trivial results for universal
quantities can be compared to numerics, and predictions for exponents
below the upper critical dimensions become accessible through
renormalised field theory.
Some of the technical difficulties of the field theory of SOC, such as fermionicity
versus carrying capacity, multiple species (some of which resting),
boundary conditions and finite size scaling, can be studied in the field
theory of the Wiener sausage, that I have introduced more recently.
Synchronisation by time delay
Synchronisation is a very widespread phenomenon observed in flashing
fireflies, applauding audiences and the neuronal network of the brain.
Hitherto, one major branch of research has focussed on the exchange of
instantaneous, sudden pulses which are exchanged when an oscillator
reaches a threshold, triggering sudden, discontinuous relaxations. A
second branch focussed on smooth interaction that vanishes in the
synchronised state, best known as the Kuramoto Model.
We changed this setup, studying smooth, continuous interaction that
never disappears. At first, very basic considerations suggest that such
a system cannot synchronise. Numerics, however, seems to suggest
otherwise. It turns out that this clash is caused by an effective time
delay built into the numerics: Time delay causes synchronisation on a
time scale that is inversely proportional to the time lag.
Borderlines in ecotones and the contact process in ecological
systems
Borderlines, such as tree lines, appear frequently in ecological
systems. Does the structure of such borderlines give away the
universality class of the underlying microscopic dynamics? With a
suitable definition, the borderlines become a trivial percolation
phenomenon. It would be highly desirable to detect the contact
process, which has an enormously large universality class, yet has
proved difficult to find so far.
Can one identify observables and predict their
properties, which could be used to detect the contact process in
natural systems? Can one measure and characterise the role of
correlations?
Assuming that the contact process is at work
in population dynamics, what effect has the range of interaction on
its critical point?
Thermodynamic Properties of Grain Boundaries
Many of the interesting mechanical and electrical properties of
titanates are due to intergranular films, i.e. the interfaces
between grains. The aim is to develop a density functional
theory for these systems, rather than doing first principles calculations or
simulations. In particular, such a theory should be able to predict
the thickness of the interface as a function of the misorientation of
the adjoining crystalline lattices, as well as indicate the onset of
a wetting transition. Moreover, a connection can be made to phase
field models of these systems.
Self-Organised Criticality
Some non-equilibrium systems seem to develop into a state that lacks
characteristic spatial or temporal scales. This behaviour has been dubbed
"Self-Organised Criticality". Keeping in mind that scale invariance is
usually only found at a critical point of second order phase transitions,
the aim is to find the necessary and sufficient conditions for the
occurence of this very surprising phenomenon. These questions can be
addressed either numerically or analytically. The link to absorbing
states phase transitions is of particular interest.
Field theory of growth with and without disorder
The single most powerful tool of the statistical mechanics of phase
transitions is field theory. While equilibrium models have been studied
extensively using this mathematical technique, non-equilibrium phenomena
and those with (quenched) disorder are far less understood.
Non-equilibrium phase transitions into an absorbing state, their
field-theoretic particularities and their theoretical basis (such
as the apropriate ensemble) are studied using scaling arguments and
field theoretic RG, both supported by numerics.
Non-perturbative renormalisation group
In recent years the non-perturbative renormalisation group has
gained some momentum and has been applied successfully to a number of
hitherto rather elusive problems, in particular non-equilibrium
systems. Yet, its foundations and restrictions (in particular
regarding symmetries, such as
causality) remain
somewhat unclear, but can be studied using exactly solvable or well
understood models.
Percolation
Using a novel algorithm to study percolation numerically, it was possible
to calculate with very high precision various crossing, spanning and
wrapping probabilities in two-dimensional lattices of unprecedented size.