Another
problem under study is that of bubble dynamics and
cavitation in fluids. This occurs in various
situations & is associated with various phenomena,
ranging from the cavitation damage to propellers of
ships, single and multi-bubble sonoluminescence,
forced bubble oscillations in living tissue,
shock-wave generation and cavitation by living
organisms such as shrimps, the sound associated with
running water: the list goes on and on. A forced
oscillating bubble in a fluid is a very rich nonlinear
system showing very surprising and interesting
behaviour. We study the dynamics of such a
system, under acoustic forcing, using a modified
Rayleigh-Plesset equation, investigating the effect of
various physical parameters. Our recent work has
focused on charged bubbles, investigating charge &
pressure thresholds.
Dynamical
instabilities, noise & sensory detection
Living things depend upon their various senses for
their survival. Sensory cells detecting
different modalities have developed sophisticated
mechanisms to convey the various features of the
external environment to the living system in the
shortest possible time. The essential nonlinearities
inherent in the signal transduction mechanism can
take advantage of the noise from the environment the
system is subject to, to display a highly amplified
response to stimuli in a frequency-selective
manner. We study the role of the Hopf
bifurcation in detection of stimuli in sensory
processes.
Synchronization in
nonlinear systems
We are also interested in
the synchronization behaviour of nonlinear systems.
Addition of weak noise may cause synchronization to
occur in some systems. We have studied
noise-induced synchronization in a system of coupled
nonlinear oscillators which exhibit self-sustained
oscillations.
Dynamics of coupled neurons
Studies
of neuronal firing behaviour include investigations of
neuron models as flows & maps, constructing models
that replicate observed bursting behaviour, and
understanding the dynamics of neuronal firing from a
dynamical systems theory point of view.
Modelling climate phenomena
This includes some recent work on
ocean carbon sinks & climate change,
which is expected to have a strong impact in
understanding climate dynamics. Our work focuses on
predicting the location & the spatio-temporal
evolution of ocean carbon sinks and its influence on
climate change. Our model's results &
predictions seem to be in agreement with known data
(present climate patterns as well as paleoclimate).
We predict the evolution of the aqueous carbon
dioxide absorbed by the world's oceans as a function
of time and spatial location.
Other work includes construction of mathematical
models that qualitatively capture the behaviour of
complex climate phenomena such as tropical
precipitation.
Modelling ecological systems
Another problem we have been working on involves
modelling the effects of climate change on ecological
systems & populations and some interesting results
have been obtained.