Associate Professor (Grade 9)
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
Physics-driven coarse-grained model for biomolecular phase separation with near-quantitative accuracy
– Nature Computational Science
(2021)
1
(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)
Quantum-mechanical exploration of the phase diagram of water.
– Nat Commun
(2021)
12,
588
(DOI: 10.1038/s41467-020-20821-w)
Predicting the phase diagram of titanium dioxide with random search and pattern recognition
– Phys Chem Chem Phys
(2020)
22,
12697
(DOI: 10.1039/d0cp02513e)
Numerical calculation of free-energy barriers for entangled polymer nucleation.
– The Journal of Chemical Physics
(2020)
152,
224904
(DOI: 10.1063/5.0009716)
Programming the nucleation of DNA brick self‐assembly with a seeding strand
– Angewandte Chemie
(2020)
132,
8672
(DOI: 10.1002/ange.201915063)
Programming the nucleation of DNA brick self-assembly with a seeding strand
– Angewandte Chemie International Edition
(2020)
59,
8594
(DOI: 10.1002/anie.201915063)
Phase behaviour of empirical potentials of titanium dioxide
– The Journal of Chemical Physics
(2019)
151,
064505
(DOI: 10.1063/1.5115161)
Microscopic analysis of thermo-orientation in systems of off-centre Lennard-Jones particles
– The Journal of Chemical Physics
(2019)
150,
134501
(DOI: 10.1063/1.5089541)
Lattice models and Monte Carlo methods for simulating DNA origami self-assembly
– The Journal of Chemical Physics
(2018)
149,
234905
(DOI: 10.1063/1.5051835)
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