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Julija Zavadlav

Showing results (1-10 of 27) with videos related to

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Nature Communications|November 26, 2021
Learning neural network potentials from experimental data via Differentiable Trajectory ReweightingStephan Thaler, Julija Zavadlav
Journal of Chemical Information and Modeling|July 7, 2025
Enhancing Machine Learning Potentials through Transfer Learning across Chemical ElementsSebastien Röcken, Julija Zavadlav
The Journal of Chemical Physics|September 24, 2017
Adaptive resolution simulations coupling atomistic water to dissipative particle dynamicsJulija Zavadlav, Matej Praprotnik
Journal of Chemical Information and Modeling|February 4, 2026
Mapping Still Matters: Coarse-Graining with Machine Learning PotentialsFranz Görlich, Julija Zavadlav
Digital Discovery|April 22, 2026
Generalization of long-range machine learning potentials in complex chemical spacesMichał Sanocki, Julija Zavadlav
ACS Nano|April 21, 2026
Morphology-Aware Peptide Discovery via Masked Conditional Generative ModelingNuno Costa, Julija Zavadlav
Npj Computational Materials|September 19, 2025
Learning non-local molecular interactions via equivariant local representations and charge equilibrationPaul Fuchs, Michał Sanocki, Julija Zavadlav
European Biophysics Journal : EBJ|September 15, 2017
Adaptive resolution simulations of biomolecular systemsJulija Zavadlav, Staš Bevc, Matej Praprotnik
Scientific Reports|July 8, 2017
Order and interactions in DNA arrays: Multiscale molecular dynamics simulationJulija Zavadlav, Rudolf Podgornik, Matej Praprotnik
Journal of Chemical Theory and Computation|November 18, 2015
Adaptive resolution simulation of a DNA molecule in salt solutionJulija Zavadlav, Rudolf Podgornik, Matej Praprotnik
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Nature Communications|November 26, 2021
Learning neural network potentials from experimental data via Differentiable Trajectory ReweightingStephan Thaler, Julija Zavadlav
Journal of Chemical Information and Modeling|July 7, 2025
Enhancing Machine Learning Potentials through Transfer Learning across Chemical ElementsSebastien Röcken, Julija Zavadlav
The Journal of Chemical Physics|September 24, 2017
Adaptive resolution simulations coupling atomistic water to dissipative particle dynamicsJulija Zavadlav, Matej Praprotnik
Journal of Chemical Information and Modeling|February 4, 2026
Mapping Still Matters: Coarse-Graining with Machine Learning PotentialsFranz Görlich, Julija Zavadlav
Digital Discovery|April 22, 2026
Generalization of long-range machine learning potentials in complex chemical spacesMichał Sanocki, Julija Zavadlav
ACS Nano|April 21, 2026
Morphology-Aware Peptide Discovery via Masked Conditional Generative ModelingNuno Costa, Julija Zavadlav
Npj Computational Materials|September 19, 2025
Learning non-local molecular interactions via equivariant local representations and charge equilibrationPaul Fuchs, Michał Sanocki, Julija Zavadlav
European Biophysics Journal : EBJ|September 15, 2017
Adaptive resolution simulations of biomolecular systemsJulija Zavadlav, Staš Bevc, Matej Praprotnik
Scientific Reports|July 8, 2017
Order and interactions in DNA arrays: Multiscale molecular dynamics simulationJulija Zavadlav, Rudolf Podgornik, Matej Praprotnik
Journal of Chemical Theory and Computation|November 18, 2015
Adaptive resolution simulation of a DNA molecule in salt solutionJulija Zavadlav, Rudolf Podgornik, Matej Praprotnik
Pageof 3