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
Phase diagrams-Why they matter and how to predict them
– The Journal of chemical physics
(2022)
158,
030902
(doi: 10.1063/5.0131028)
Simulations of DNA-origami self-assembly reveal design-dependent nucleation barriers
– Nano Letters: a journal dedicated to nanoscience and nanotechnology
(2022)
22,
6916
(doi: 10.1021/acs.nanolett.2c01372)
Quantitative real-time in-cell imaging reveals heterogeneous clusters of proteins prior to condensation
– bioRxiv
(2022)
(doi: 10.1101/2022.08.01.502196)
Thermodynamics of high-pressure ice phases explored with atomistic simulations
– Nature communications
(2022)
13,
4707
(doi: 10.1038/s41467-022-32374-1)
Designing multiphase biomolecular condensates by coevolution of protein mixtures
(2022)
(doi: 10.1101/2022.04.22.489187)
Comparison of experimental phase diagrams and residue-level coarse-grained simulations of intrinsically disordered proteins
– Biophysical Journal
(2022)
121,
471A
(doi: 10.1016/j.bpj.2021.11.408)
Physics-driven coarse-grained model for biomolecular phase separation with near-quantitative accuracy
– Biophysical Journal
(2022)
121,
307a
(doi: 10.1016/j.bpj.2021.11.1214)
Physics-driven coarse-grained model for biomolecular phase separation with near-quantitative accuracy.
– Nature Computational Science
(2021)
1,
732
(doi: 10.1038/s43588-021-00155-3)
Targeted modulation of protein liquid-liquid phase separation by evolution of amino-acid sequence.
– PLoS Computational Biology
(2021)
17,
e1009328
(doi: 10.1371/journal.pcbi.1009328)
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