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
A streamlined molecular-dynamics workflow for computing solubilities of molecular and ionic crystals
– The Journal of chemical physics
(2023)
159,
184110
(doi: 10.1063/5.0173341)
A streamlined molecular-dynamics workflow for computing solubilities of molecular and ionic crystals
(2023)
(doi: 10.48550/arxiv.2308.10886)
Quantitative real-time in-cell imaging reveals heterogeneous clusters of proteins prior to condensation.
– Nat Commun
(2023)
14,
4831
(doi: 10.1038/s41467-023-40540-2)
Aromatic and arginine content drives multiphasic condensation of protein–RNA mixtures
– Biophysical Journal
(2023)
123,
1342
(doi: 10.1016/j.bpj.2023.06.024)
Aromatic and arginine content drives multiphasic condensation of protein–RNA mixtures
(2023)
(doi: 10.1101/2023.04.05.535720)
Physical determinants of multiphase organisation in multi-component protein/RNA condensates
– Biophysical journal
(2023)
122,
295A
(doi: 10.1016/j.bpj.2022.11.1672)
Thermodynamic origins of two-component multiphase condensates of proteins.
– Chemical science
(2023)
14,
1820
(doi: 10.1039/d2sc05873a)
Signaling by cluster formation investigated with single-molecule fluorescence in living cells
– EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS
(2023)
52,
S213
Phase diagrams—why they matter and how to predict them
– J Chem Phys
(2022)
158,
030902
(doi: 10.1063/5.0131028)
Simulations of DNA-Origami Self-Assembly Reveal Design-Dependent Nucleation Barriers
– Nano Lett
(2022)
22,
6916
(doi: 10.1021/acs.nanolett.2c01372)
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