S. Vandenhaute

Accurately Determining the Phase Transition Temperature of CsPbI3 via Random-Phase Approximation Calculations and Phase-Transferable Machine Learning Potentials

J. Hofkens, T. Verstraelen, V. Van Speybroeck, 2022, Chemistry of Materials.

Prognostic value and clinical significance of halo naevi regarding vitiligo

J. Lambert, L. Brochez, N. van Geel, 2011, The British journal of dermatology.

Different phenotypes of segmental vitiligo based on a clinical observational study

J. Lambert, L. Brochez, N. van Geel, 2011, Journal of the European Academy of Dermatology and Venereology : JEADV.

Machine learning potentials for metal-organic frameworks using an incremental learning approach

T. Verstraelen, V. Van Speybroeck, S. Vandenhaute, 2023, npj Computational Materials.

Towards modeling spatiotemporal processes in metal–organic frameworks

S. Rogge, A. Hoffman, S. Vandenhaute, 2021, Trends in Chemistry.

Large-Scale Molecular Dynamics Simulations Reveal New Insights Into the Phase Transition Mechanisms in MIL-53(Al)

V. Van Speybroeck, S. Vandenhaute, Sven M. J. Rogge , 2021, Frontiers in Chemistry.

Free Energy Calculations using Smooth Basin Classification

Tom Braeckevelt, M. Bocus, S. Vandenhaute, 2024, 2404.03777.

Water motifs in zirconium metal-organic frameworks induced by nanoconfinement and hydrophilic adsorption sites

V. Van Speybroeck, Ruben Goeminne, A. Lamaire, 2024, Nature communications.