activity
20042026
most citedCrystal nucleation of hard spheres using molecular dynamics, umbrella sampling and forward flux sampling: A comparison of simulation techniques

212 citations · 1.3k across the 41 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cond-mat.soft2025

Local composition fluctuations act as precursors for crystal nucleation in polydisperse hard spheres

Marjolein de Jager, Antoine Castagnède, Frank Smallenburg +1

We revisit the effect of polydispersity on the crystal nucleation of hard spheres. Using event-driven molecular dynamics simulations, we obtain the nucleation rate as a function of…

cond-mat.soft2025

Solid-angle based nearest-neighbor algorithm adapted for systems with low coordination number

Alptuğ Ulugöl, Frank Smallenburg, Laura Filion

Nearest-neighbor identification is central to the analysis of local structure in condensed matter systems. The solid-angle-based nearest-neighbor (SANN) algorithm is widely used of…

cond-mat.soft2025

Comparing dimensionality reduction methods for local structural identification in colloidal systems

Alptuğ Ulugöl, Jessi Bückmann, Ruizhi Yang +4

Quantifying local structures in self-assembled systems is a central challenge in soft matter and materials science. When no a priori knowledge of the relevant structures is availab…

cond-mat.soft2025

Characterizing the cage state of glassy systems and its sensitivity to frozen boundaries

Rinske M. Alkemade, Frank Smallenburg, Laura Filion

Understanding the role that structure plays in the dynamical arrest observed in glassy systems remains an open challenge. Over the last decade, machine learning (ML) strategies hav…

cond-mat.soft2025★ 4 cited

Freezing line of polydisperse hard spheres via direct-coexistence simulations

Antoine Castagnède, Laura Filion, Frank Smallenburg

In experimental systems, colloidal particles are virtually always at least somewhat polydisperse, which can have profound effects on their ability to crystallize. Unfortunately, ac…

cond-mat.soft2025

Machine learning short-ranged many-body interactions in colloidal systems using descriptors based on Voronoi cells

Rinske M. Alkemade, Rastko Sknepnek, Frank Smallenburg +1

Machine learning (ML) strategies are opening the door to faster computer simulations, allowing us to simulate more realistic colloidal systems. Since the interactions in colloidal…