Mark Bradley
Professor
B.S., University of Toronto, 1979; Ph.D., Stanford University, 1985.
Theory of Disordered Materials
Statistical mechanics gives us a nearly complete understanding of translationally-invariant
systems of many particles in equilibrium. Structural disorder can strongly alter the behavior
of a material, however, and presents a serious challenge to the theorist since translational
symmetry can no longer be exploited. Percolation theory is the simplest, most generic model
of a disordered material. We are studying the fractal geometry of the clusters in percolation
using large-scale numerical simulations. We have also developed exact mappings of percolation
onto other problems in statistical physics. These mappings are useful if the equivalent problem
can be exactly solved.
A second major challenge to theorists is to develop an understanding of the behavior of
statistical systems driven far from equilibrium, and my group has an on-going effort in
this area. We are currently studying the behavior of a system that is both structurally
disordered and far from equilibrium. Our model describes the damage done to metal thin films
by electromigration, an important cause of integrated circuit failure. In addition to
performing simulations, we have made substantial progress analytically on our model.
We are also studying granular materials. These are a special type of disordered material
formed by packing many small, micron-sized particles into a container, and then fusing the
particles together through the application of heat and pressure. There is an enormous variety
of granular materials, ranging from ceramics to sandstones. For many years, packings of
identical spheres have been studied as a model of granular materials. Real granular materials
are composed of particles with a variety of shapes and sizes, however. We were the first to
study the effects of grain shape on the structure of granular materials. Our simulations show
that grain asphericity is extremely important, and that it leads to a new type of orientational
order. We are currently simulating the convective flows that occur when a container full of
particles is shaken up and down.