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Yusuf Hamied Department of Chemistry

 

Associate Professor

In my research, I use computer simulations and statistical mechanics to study the behaviour of molecular and colloidal systems. In particular, I am interested in phase transitions, nucleation and self-assembly, and how thermodynamic and kinetic factors affect and control them.

Dr Reinhardt discusses his research

Publications

Thermodynamic origins of two-component multiphase condensates of proteins
PY Chew, JA Joseph, R Collepardo-Guevara, A Reinhardt
– Chemical Science
(2023)
2022.04.22.489187
Phase diagrams-why they matter and how to predict them
PY Chew, A Reinhardt
– The Journal of Chemical Physics
(2022)
158,
030902
Simulations of DNA-origami self-assembly reveal design-dependent nucleation barriers
A Cumberworth, D Frenkel, A Reinhardt
– Nano Letters
(2022)
22,
6916
Quantitative real-time in-cell imaging reveals heterogeneous clusters of proteins prior to condensation
C Lan, J Kim, S Ulferts, F Aprile-Garcia, A Anandamurugan, R Grosse, R Sawarkar, A Reinhardt, T Hugel
– bioRxiv
(2022)
Thermodynamics of high-pressure ice phases explored with atomistic simulations.
A Reinhardt, M Bethkenhagen, F Coppari, M Millot, S Hamel, B Cheng
– Nat Commun
(2022)
13,
4707
Designing multiphase biomolecular condensates by coevolution of protein mixtures
PY Chew, J Joseph, R Collepardo-Guevara, A Reinhardt
(2022)
Same and interconvertible high-pressure ice phases
A Reinhardt, M Bethkenhagen, F Coppari, M Millot, S Hamel, B Cheng
(2022)
Comparison of experimental phase diagrams and residue-level coarse-grained simulations of intrinsically disordered proteins
MJ Maristany, R Collepardo-Guevara, JA Joseph, A Reinhardt
– Biophysical Journal
(2022)
121,
471a
Physics-driven coarse-grained model for biomolecular phase separation with near-quantitative accuracy
JA Joseph, A Reinhardt, A Aguirre, PY Chew, KO Russell, JR Espinosa, A Garaizar, R Collepardo-Guevara
– Biophysical Journal
(2022)
121,
307a
Physics-driven coarse-grained model for biomolecular phase separation with near-quantitative accuracy.
J Joseph, A Reinhardt, A Aguirre, PY Chew, K Russell, J Rene Espinosa, A Garaizar, R Collepardo Guevara
– Nature Computational Science
(2021)
1,
732
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Research Group

Research Interest Group

Telephone number

01223 336471 (shared)

Email address

ar732@cam.ac.uk