Julija Zavadlav

15PUBLICATIONS
11CO-AUTHORS
Process control and simulationNanofabrication, growth and self assemblyComputational chemistryBioinformatic methods developmentFormal methods for software
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Publications (15)

|Apr 22, 2026
Generalization of long-range machine learning potentials in complex chemical spaces.

|Apr 21, 2026
Morphology-Aware Peptide Discovery via Masked Conditional Generative Modeling.

|Feb 04, 2026
Mapping Still Matters: Coarse-Graining with Machine Learning Potentials.

Franz Görlich, Julija Zavadlav

|Feb 03, 2026
Achieving all-atom molecular dynamics accuracy from the Poisson-Boltzmann method through machine learning.

Ema Slejko, Amaury Coste, Tilen Potisk

|Dec 24, 2025
Enhanced Sampling for Efficient Learning of Coarse-Grained Machine Learning Potentials.

Weilong Chen, Franz Görlich, Paul Fuchs

|Jul 23, 2025
chemtrain-deploy: A Parallel and Scalable Framework for Machine Learning Potentials in Million-Atom MD Simulations.

Paul Fuchs, Weilong Chen, Stephan Thaler

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Frequent Collaborators

5 joint publications

Matej Praprotnik

3 joint publications

Stephan Thaler

1 joint publications

Siewert J Marrink

1 joint publications

Petros Koumoutsakos