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| Buckling of semifexible filaments under compression , Soft Matter, 4015, 5 (2009) |
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Stretching Semiflexible Filaments and Their Networks
Macromolecules, 5388, 42 (2010) |
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Forces and extensions in semiflexible and rigid polymer chains and filaments
Journal of Physics A, 10951, 40 (2007) |
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Evolvability: a Formal Approach
Oxford University, (2009) |
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Fellows, postdocs, visitors and members of the Board of Trustees include:
Jamie is currently a post-doctoral researcher at LIMS working on the evolution of robustness, and adaptability. He completed his PhD at the Cavendish Laboratory, Cambridge jointly in the Biological and Soft Systems (BSS), and Theory of Condensed Matter (TCM) groups under the supervision of Prof Eugene Terentjev on the statistical mechanics of semiflexible polymers.
Research interests:
Evolution of robustness and differentiation. Rates of information acquisition during evolution. Metropolis Monte-Carlo methods, semiflexible polymers, percolation, rigidity theory, non-affinity in mechanical networks.
jamie(at)london-institute.org
Guido is currently Associate Professor in the Centre for Statistical Mechanics in the University of Rome "Sapienza" Italy. He got his degree in physics in the Department of Physics of the same University in 1992 working with L. Pietronero and A. Vespignani. He then moved to SISSA/ISAS in Trieste where he got the PhD in Statistical Physics in 1996 working on self-organised criticality with A. Maritan. He was a postdoc at Manchester with A. McKane and in TCM at Cambridge with R. Ball. Current with his Rome position, he has also been visiting professor at École Normale Supérieure in Paris and the University of Barcelona.
Research interests:
After the studies on fractal growth and self-organised criticality he moved his research on the analysis of scale-free networks. On this topic he published a textbook and he coordinated a European Project.
guido.caldarelli(at)gmail.com
Robert Farr spent seven years at the Cavendish Laboratory, Cambridge, where he won the Clerk Maxwell University Prize for top physicist of his year. He is now a research scientist at Unilever. His research interests include statistical mechanics, fractal materials, granular systems and geometrical packing.
This list is not exclusive, and the Institute welcomes scientists pursuing other fields in the theoretical sciences, including mathematics and quantitative biology.
For LIMS Scientists — Each summary describes an area of work that is more coarse-grained than an individual paper and is meant for a broad scientific audience, so abstracts are not appropriate here. The maximum length for each summary is 500 characters.
Leibniz considered covering the plane, starting with touching circles & repeatedly adding the largest circle which touches three others. Related constructions in 3d can be used as models for broken rock at fault zones & the vortex structure of turbulence; while their graphs afford models for social networks. The residual set of the packing is fractal & its Hausdorff dimension captures important information. We have found a method to estimate the dimension of the residual set of Apollonian packings in arbitrary dimension.
Compression members (such as columns) require more material than tension members (such as ropes) to support a given load, because of their vulnerability to buckling. Quantifying this in terms of non-dimensional loading & efficiency numbers, we have shown that fractal designs can be used to make very lightweight compression structures, by using one hierarchical level to protect against buckling of the next. More complex designs are needed for large structures or those required to withstand gentle forces. ( More)
The failure of brittle, polycrystals is governed by the nucleation and growth of cracks, which operate by focussing strain energy down from a macroscopic region onto the crack tip, which may be of molecular scale. By considering the geometric properties of a polycrystal containing a non-solidified matrix (for example sea ice, or a ceramic at high temperature), we find universal shapes for the voids, and by treating them as incipient fractures, deduce a general theory for the failure stress of brittle solids of this kind.
Concentrated suspensions of hard particles (e.g. corn flour) can jam when the strain rate is too high. The related phenomenon of dilatancy is seen when walking on wet sand: the material expands, drawing water from the surface & leaving a dry halo around the footprint. We build an analytic theory of this, based on particle clusters forming under flow & growing by cluster-cluster aggregation. The theory is solved by a continued fraction expansion in complex strain, showing the occurrence of a dynamic phase transition.
Processing of multi-phase fluids through micron scale pumping & mixing devices may give much greater control over the properties of the resulting materials; e.g. controlled droplet sizes and the ability to design particles. In "lab-on-a-chip" chemical analysis, this degree of control is essential. By considering idealized, short droplets, we found a simple approximation for the interaction of droplet trains in different channel topologies, and showed that in even a simple y-shaped channel, this led to complex flow behaviours.
How much non-coding DNA do eukaryotes require? In most eukaryotes, a large proportion of the genome does not code for proteins. The non-coding part is observed to vary greatly in size even between closely related species. Data suggest that eukaryotes require a certain minimum amount of non-coding DNA, and that this minimum increases quadratically with the amount of coding DNA. We derive a theoretical prediction of this minimum based on a simple model of the growth of regulatory networks.
Sintering is a process in which individual crystals touch and then heal together, forming grain boundaries. This can transform a powder or slurry into a solid material. By studying the early stages of sintering, just after contact, we have found a solitary wave solution to the governing equations, which implies a novel scaling for the initial growth of the neck between two particles with time. This may have implications for the flow and solidification of materials such as magma and cryogenic ice slurries.
Although equal sized spheres can be packed most densely in crystalline arrangements, in practice macroscopic hard spheres can only be brought to the random close packed density of 64%. This state provides a first approximation to the structure of granular materials, such cement or oil sands. By studying polydisperse spheres, and approximately mapping the problem onto one dimension, have constructed a simple and fast algorithm to estimate the random packing density of any size distribution. (More)
A remarkable property of the large-scale structure of the universe is that its correlations show a well defined power law behavior which strongly points to complex properties in the sense of self-organized criticality. However, their present interpretation within the standard model of cosmology is that they are a sort of accident. Our goal is to understand whether gravitational clustering of mass points alone may generate complex scale-invariant structures. Preliminary results in one dimension provide a solid support to this hypothesis.