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Yusuf Hamied Department of Chemistry

 

University Associate Professor

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

Direct imaging of contacts and forces in colloidal gels
J Dong, F Turci, RL Jack, MA Faers, CP Royall
– J Chem Phys
(2022)
156,
214907
Rectification in a mixture of active and passive particles subject to a ratchet potential
JF Derivaux, RL Jack, ME Cates
– Journal of Statistical Mechanics Theory and Experiment
(2022)
2022,
043203
Tracer dynamics in one dimensional gases of active or passive particles
T Banerjee, RL Jack, ME Cates
– Journal of Statistical Mechanics Theory and Experiment
(2022)
2022,
013209
Irreversibility and Biased Ensembles in Active Matter: Insights from Stochastic Thermodynamics
E Fodor, RL Jack, ME Cates
– Annual Review of Condensed Matter Physics
(2022)
13,
215
Cycle counts and affinities in stochastic models of nonequilibrium systems.
P Pietzonka, J Guioth, RL Jack
– Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
(2021)
104,
064137
Bayesian inference across multiple models suggests a strong increase in lethality of COVID-19 in late 2020 in the UK
P Pietzonka, E Brorson, W Bankes, ME Cates, RL Jack, R Adhikari
– PLoS One
(2021)
16,
e0258968
Dynamical phase transition in the activity-biased fully-connected random field Ising model: connection with glass-forming systems
J Guioth, RL Jack
– Journal of Statistical Mechanics: Theory and Experiment
(2021)
2021,
103206
Critical point for demixing of binary hard spheres.
H Kobayashi, PB Rohrbach, R Scheichl, NB Wilding, RL Jack
– Physical Review E
(2021)
104,
044603
Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19
YI Li, G Turk, PB Rohrbach, P Pietzonka, J Kappler, R Singh, J Dolezal, T Ekeh, L Kikuchi, JD Peterson, A Bolitho, H Kobayashi, ME Cates, R Adhikari, RL Jack
– R Soc Open Sci
(2021)
8,
211065
Large Deviations at Level 2.5 for Markovian Open Quantum Systems: Quantum Jumps and Quantum State Diffusion
F Carollo, JP Garrahan, RL Jack
– Journal of Statistical Physics
(2021)
184,
13
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Research Interest Group

Telephone number

01223 763865

Email address

rlj22@cam.ac.uk