Academic Career and Research Areas
The research area of Prof. Zavadlav (b. 1987) lies in the development of efficient and predictive computational methods and models for application areas ranging from life sciences to engineering. To this end, she is working on novel multi-resolution techniques that combine different simulation methods within a single simulation and on development of new models with the aid of machine learning tools.
Prof. Zavadlav studied physics at the University of Ljubljana where she received her Ph.D. in 2015 while working at the National Institute of Chemistry in Slovenia. In 2016, she joined the Computational Science and Engineering Laboratory at ETH Zurich and was awarded the ETH Postdoctoral Fellowship in 2017. In 2019, she was appointed as Assistant Professor for Multiscale Modeling of Fluid Materials at TUM.
Zavadlav J, Arampatzis G, Koumoutsakos P: „Bayesian selection for coarse-grained models of liquid water“. Scientific Reports. 2019; 9 (1): 99.Abstract
Zavadlav J, Sablić J, Podgornik R, Praprotnik, M: „Open-Boundary Molecular Dynamics of a DNA Molecule in a Hybrid Explicit/Implicit Salt Solution“. Biophysical Journal. 2018; 114 (10): 2352–2362.Abstract
Zavadlav J, Praprotnik, M: „Adaptive resolution simulations coupling atomistic water to dissipative particle dynamics“. The Journal of Chemical Physics. 2017; 147: 114110.Abstract
Zavadlav J, Podgornik R, Praprotnik, M: „Order and interactions in DNA arrays: Multiscale molecular dynamics simulation“. Scientific Reports. 2017; 7 (1): 4775-4786.Abstract
Zavadlav J, Siewert J, Praprotnik, M: „Adaptive resolution simulation of supramolecular water: The concurrent making, breaking, and remaking of water bundles“. Journal of Chemical Theory and Computation. 2016; 12 (8): 4138-4145.Abstract