activity
20242026
collaborators

14 papers

cond-mat.mtrl-sci2026

A Dataset of Equilibrium State Configurations of Adsorption in Zeolites

Marko Petković, Rachna Ramesh, Vlado Menkovski +1

Zeolites are crystalline nanoporous materials widely used in adsorption, separation, and catalytic processes. Molecular simulations are commonly used to predict adsorption properti…

cs.LG2026

BubbleSH: A Dataset of Rising Bubbles with Deformable Interfaces

Rachna Ramesh, Kiet Bennema ten Brinke, Douwe Orij +2

Bubbly flows exhibit complex multiscale dynamics, with deformable bubbles interacting through the surrounding liquid and giving rise to strongly coupled kinematic and morphological…

cs.LG2026

Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems

Fleur Hendriks, Ondřej Rokoš, Martin Doškář +2

Bifurcation phenomena in nonlinear dynamical systems often lead to multiple coexisting stable solutions, particularly in the presence of symmetry breaking. Deterministic machine le…

cs.LG2026

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation

Kiet Bennema ten Brinke, Koen Minartz, Vlado Menkovski

Simulating trajectories of dynamical systems is a fundamental problem in a wide range of fields such as molecular dynamics, biochemistry, and pedestrian dynamics. Machine learning…

cond-mat.soft2025

Wallpaper Group-Based Mechanical Metamaterials: Dataset Including Mechanical Responses

Fleur Hendriks, Vlado Menkovski, Martin Doškář +3

Mechanical metamaterials often exhibit pattern transformations through instabilities, enabling applications in, e.g., soft robotics, sound reduction, and biomedicine. These transfo…

cs.AI2025

Towards Fully Automated Molecular Simulations: Multi-Agent Framework for Simulation Setup and Force Field Extraction

Marko Petković, Vlado Menkovski, Sofía Calero

Automated characterization of porous materials has the potential to accelerate materials discovery, but it remains limited by the complexity of simulation setup and force field sel…