Scholar
Julija Zavadlav
Google Scholar ID: hxnU4IMAAAAJ
Technical University of Munich
Multiscale Modeling of Fluid Materials
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Citations & Impact
All-time
Citations
518
H-index
13
i10-index
19
Publications
20
Co-authors
11
list available
Publications
9 items
SupraTITO: Transferable Generative Molecular Dynamics for Supramolecular Systems
2026
Cited
0
Transferable Implicit Solvent Machine Learning Potential for Drugs and Proteins Approaching Ab Initio Accuracy
2026
Cited
0
ConSolv: Solvent-Conditional Machine Learning Implicit Solvent Potential
2026
Cited
0
Coarse-Grained Boltzmann Generators
2026
Cited
0
Generalization of Long-Range Machine Learning Potentials in Complex Chemical Spaces
2025
Cited
0
Refining Machine Learning Potentials through Thermodynamic Theory of Phase Transitions
2025
Cited
0
Enhanced Sampling for Efficient Learning of Coarse-Grained Machine Learning Potentials
2025
Cited
0
Morphology-Specific Peptide Discovery via Masked Conditional Generative Modeling
2025
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0
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Co-authors
6 total
Stephan Thaler
Valence Labs
Petros Koumoutsakos
Harvard University
Sebastien Röcken
PhD Student @ TUM
Pantelis R. Vlachas
ETH Zurich, Harvard SEAS
Georgios Arampatzis
Mathematics and Applied Mathematics Department, University of Crete
Alessio Gagliardi
Technische Universitaet Muenchen
