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Department of Applied Mathematics and Theoretical Physics

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Career

  • 2022-: Professor of Statistical Mechanics (DAMTP / Chemistry), University of Cambridge
  • 2018-: Fellow, Emmanuel College
  • 2017-2022: Interdisciplinary Lecturer (DAMTP / Chemistry), University of Cambridge
  • 2008-2017: Lecturer / Reader, University of Bath
  • 2006-2008: Postdoc, College of Chemistry, UC Berkeley
  • 2004-2006: Postdoc, Theoretical Physics, Oxford University
  • 2000-2004: PhD, Physics, Imperial College London

Research

Statistical Mechanics of Soft Matter, combining ideas and methods from mathematics, physics and chemistry.

 

 

Publications

Role of initial conditions in $1D$ diffusive systems: compressibility, hyperuniformity and long-term memory
T Banerjee, RL Jack, ME Cates
(2022)
Direct imaging of contacts and forces in colloidal gels
J Dong, F Turci, RL Jack, MA Faers, CP Royall
– The Journal of Chemical Physics
(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
Cycle counts and affinities in stochastic models of nonequilibrium systems.
P Pietzonka, J Guioth, RL Jack
– Phys Rev E
(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
Irreversibility and Biased Ensembles in Active Matter: Insights from Stochastic Thermodynamics
E Fodor, RL Jack, ME Cates
– Annual Review of Condensed Matter Physics
(2021)
13,
215
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
– Royal Society open science
(2021)
8,
211065
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Research Group

Soft Matter

Room

G1.01

Telephone

01223 760431