Julija Zavadlav

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 7

Top Topics

Experimental Data

Molecular Dynamics

Grassmann Manifold

Top Venues

Publications

Sebastien Röcken, Anton F. Burnet, Julija Zavadlav
Predicting solvation free energies with an implicit solvent machine learning potential. CoRR (2024)
Stephan Thaler, Paul Fuchs, Ana Cukarska, Julija Zavadlav
JaxSGMC: Modular stochastic gradient MCMC in JAX. SoftwareX 26 (2024)
Sebastien Röcken, Julija Zavadlav
Accurate machine learning force fields via experimental and simulation data fusion. CoRR (2023)
Stephan Thaler, Gregor Doehner, Julija Zavadlav
Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls. CoRR (2022)
Stephan Thaler, Julija Zavadlav
Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting. CoRR (2021)
Pantelis R. Vlachas, Julija Zavadlav, Matej Praprotnik, Petros Koumoutsakos
Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics. CoRR (2021)
Rudolf Podgornik, Julija Zavadlav, Matej Praprotnik
Molecular Dynamics Simulation of High Density DNA Arrays. Comput. 6 (1) (2018)