Julija Zavadlav (J Zavadlav)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Venues

Journal of chemical theory and computation

The Journal of chemical physics

Interface focus

Nature communications

Technical University Munich

University of Ljubljana (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Technical University Munich

Germany

Assistant Professor :: Mechanical Engineering

Swiss Federal Institute of Technology in Zurich

Switzerland

Postdoctoral Fellow :: Chair of Computational Science

National Institute of Chemistry

Slovenia

Ph.D. Student :: Department of Molecular Modeling

Education History

University of Ljubljana

Slovenia

PHD :: Faculty of Mathematics and Physics

Publications

Amaury Coste, Ema Slejko, Julija Zavadlav, Matej Praprotnik
Developing an Implicit Solvation Machine Learning Model for Molecular Simulations of Ionic Media. Journal of chemical theory and computation 20 (1) (2023)
Stephan Thaler, Gregor Doehner, Julija Zavadlav
Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls. Journal of chemical theory and computation (2023)
Amaury Coste, Ema Slejko, Julija Zavadlav, Matej Praprotnik
Developing an Implicit Solvation Machine Learning Model for Molecular Simulations of Ionic Media. Journal of chemical theory and computation (2023)
Stephan Thaler, Maximilian Stupp, Julija Zavadlav
Deep coarse-grained potentials via relative entropy minimization. The Journal of chemical physics 157 (24) (2023)
Amaury Coste, Ema Slejko, Julija Zavadlav, Matej Praprotnik
Developing an Implicit Solvation Machine Learning Model for Molecular Simulations of Ionic Media. Journal of chemical theory and computation 20 (1) (2023)
Amaury Coste, Ema Slejko, Julija Zavadlav, Matej Praprotnik
Developing an Implicit Solvation Machine Learning Model for Molecular Simulations of Ionic Media. Journal of chemical theory and computation 20 (1) (2023)
Ermioni Papadopoulou, Julija Zavadlav, Rudolf Podgornik, Matej Praprotnik, Petros Koumoutsakos
Tuning the Dielectric Response of Water in Nanoconfinement through Surface Wettability. ACS nano (2021)
Stephan Thaler, Julija Zavadlav
Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting. Nature communications 12 (1) (2021)
Pantelis R Vlachas, Julija Zavadlav, Matej Praprotnik, Petros Koumoutsakos
Accelerated Simulations of Molecular Systems through Learning of Effective Dynamics. Journal of chemical theory and computation (2021)
Stephan Thaler, Matej Praprotnik, Julija Zavadlav
Back-mapping augmented adaptive resolution simulation. The Journal of chemical physics 153 (16) (2020)
Julija Zavadlav, Siewert-Jan Marrink, Matej Praprotnik
SWINGER: a clustering algorithm for concurrent coupling of atomistic and supramolecular liquids. Interface focus 9 (3) (2019)

Julija Zavadlav.css-eqlu8i{font-size:small;padding-left:4px;} (J Zavadlav)

Publication Activity (10 Years)

Top Topics

Top Venues

Julija Zavadlav (J Zavadlav)