We are always interested in talented PhD students or Postdocs
who want to join our group. Our work is interdisciplinary and so we
welcome people with backgrounds in theoretical physics, theoretical
chemistry, applied mathematics, engineering, and biology.
Familiarity with computer simulations and theoretical techniques of
statistical mechanics is important. Please contact Ard Louis
by email if you are interested.
Applying as a DPhil student: Please get in touch with me directly, and see the links below:
Here are some potential projects that we may be
considering for the coming year. In practice, these projects always
evolve, in part because research advances rapidly, and in part because
we adapt the projects to the particular strengths and interests of the
DPhil candidates.
Understanding the self-assembly of DNA nanostructures
The ability to design nanostructures which accurately self-assemble
from simple units is central to the goal of engineering objects and
machines on the nanoscale. Without self-assembly, structures must be
laboriously constructed in a step by step fashion. Double-stranded DNA
(dsDNA) has the ideal properties for a nanoscale building block, and
new DNA nanostructures are being published at an ever increasing rate.
Here in the Clarendon the world-leading experimental group of
Andrew Turberfield has created a number of intriguing
nanostructures using physical self-assembly mechanisms. We have
recently developed a new simplified theoretical model of DNA that
appears to capture the dominant physics involved. In this project you
would apply the model to study some simple nanostructures. You will
mainly be using Monte Carlo simulations and statistical mechanical
calculations to study these processes.
A potential new direction for this project could also be to extend our
new methods to study RNA nanostructures.
Tom Ouldridge has some nice pictures up on his site about this project.
and the Physics Department Newsletter had a little popular piece on our work here .
This project is in close collaboration with the group of Dr. Jonathan Doye.
Our new oxDNA model has its own web page where you can download our code:
http://dna.physics.ox.ac.uk/
The physics of biological evolution
"Nothing in Biology Makes Sense Except in the Light of Evolution."
wrote the great naturalist Theodosius
Dobzhansky , but to really understand evolution, a stochastic
optimization process in a very high dimensional space, will require
techniques from statistical physics. In this project you will use
theoretical tools and computer simulations to study a number of
simplified models we have been developing in our group to understand
the physics of evolution. For example, we are studying how evolution can explain the
structures of protein complexes, and also studying some simple
models of self-assembling tiling systems.
Iain
Johnston has some nice
pictures up on this project.
This project is in close collaboration with the group of Dr. Jonathan Doye.
Positive Design for Self-Assembly
The remarkable ability of biological matter to robustly self-assemble into
well defined composite objects excites the imagination. Viruses, for
example, can be reversibly dissolved and re-assembled from their component
parts simply by changing the solution pH. How does nature achieve this
feat? Can we uncover the "positive design rules" for inter-particle
interactions that allow the self-assembly of a particular desired
3-dimensional structure [1]? Can we use evolutionary algorithms to design
these particles? Such understanding could have important implications for
nanoscience, where objects are too small to directly manipulate, and
instead must come together by self-assembly mechanisms.
This project is in close collaboration with the group of Dr. Jonathan Doye.
Here is a movie that Iain made about virus self-assembly:
Iain G. Johnston, Ard A. Louis and Jonathan P.K. Doye
J. Phys.:
Condensed Matter, 22 , 104101 (2010)
| arxiv abstract
| pdf
reprint | (this paper was selected for journal cover an\
d as one of the journal's Highlights of 2010)
The interplay of Brownian and hydrodynamic interactions in suspensions
When suspended particles move in a background fluid, they experience
random kicks (Brownian motion), but also generate long-ranged
hydrodynamic flows. This project would use a new computer simulation
method, stochastic rotation dynamics (SRD) that includes both these
effects, to study flow properties of complex fluids. There is also
scope for more mathematical approaches combining non-equilibrium
statistical mechanics and hydrodynamics to explain some of the
dramatic effects we are seeing. Examples of applications include
dynamic lane formation, fluctuations during sedimentation, colloidal nano-pumps, and colloidal "explosions".
To see the effect of hydrodynamic interactions, compare these two movies: