
Professor of Statistical Mechanics
My research group includes people in the Dept of Chemistry and in the Dept of Applied Maths and Theoretical Physics (DAMTP). We investigate questions from physics, chemistry and mathematics, using the theory of statistical mechanics to understand the behaviour of complex systems including biomolecules, glassy liquids, and soft matter. I am particularly interested in co-operative dynamics: for example, how do molecules move in crowded environments? What are the co-operative mechanisms for colloidal self-assembly, and the folding of biomolecules?
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Publications
Dynamical phase coexistence in the Fredrickson–Andersen model
– Journal of Statistical Mechanics: Theory and Experiment
(2020)
2020,
053204
(doi: 10.1088/1742-5468/ab7af6)
Inference, prediction and optimization of non-pharmaceutical
interventions using compartment models: the PyRoss library
(2020)
Ergodicity and large deviations in physical systems with stochastic dynamics
– European Physical Journal B
(2020)
93,
74
(doi: 10.1140/epjb/e2020-100605-3)
Assessing the structural heterogeneity of supercooled liquids through community inference
– J Chem Phys
(2020)
152,
144502
(doi: 10.1063/5.0004732)
Large deviations and optimal control forces for hard particles in one dimension
– Journal of Statistical Mechanics: Theory and Experiment
(2019)
2019,
123208
(doi: 10.1088/1742-5468/ab4801)
Correction of coarse-graining errors by a two-level method: Application to the Asakura-Oosawa model
– J Chem Phys
(2019)
151,
144108
(doi: 10.1063/1.5120833)
Accelerated relaxation and suppressed dynamic heterogeneity in a kinetically constrained (East) model with swaps
– Journal of Statistical Mechanics: Theory and Experiment
(2019)
2019,
094006
(doi: 10.1088/1742-5468/ab39d8)
A variational structure for interacting particle systems and their hydrodynamic scaling limits
– Communications in Mathematical Sciences
(2019)
17,
739
(doi: 10.4310/cms.2019.v17.n3.a7)
Large deviations in models of growing clusters with symmetry-breaking transitions
– Physical Review E
(2019)
100,
012140
(doi: 10.1103/PhysRevE.100.012140)
Unraveling the Large Deviation Statistics of Markovian Open Quantum Systems
– Physical Review Letters
(2019)
122,
130605
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