activity
20242026
collaborators

5 papers

physics.comp-ph2026

A Novel NPT Thermodynamic Integration Scheme to Derive Rigorous Gibbs Free Energies for Crystalline Solids

Karel L. K. De Witte, Tom Braeckevelt, Massimo Bocus +2

Thermodynamic Integration (TI) is the state-of-the-art computational technique for accurate Gibbs free energy predictions of solids. Conventional TI schemes start from an NVT harmo…

cond-mat.mtrl-sci2026

The effect of the A-site cation on the phase transition temperature of metal halide perovskites

Tom Braeckevelt, Sander Vandenhaute, Sven M. J. Rogge +2

A key challenge for the practical application of metal halide perovskites (MHPs) is the instability of the desired perovskite phase relative to the optically non-active phase.…

cond-mat.mtrl-sci2025

Orb-v3: atomistic simulation at scale

Benjamin Rhodes, Sander Vandenhaute, Vaidotas Å imkus +4

We introduce Orb-v3, the next generation of the Orb family of universal interatomic potentials. Models in this family expand the performance-speed-memory Pareto frontier, offering…

cond-mat.mtrl-sci2025

Cluster-based machine learning potentials to describe disordered metal-organic frameworks up to the mesoscale

Pieter Dobbelaere, Sander Vandenhaute, Veronique Van Speybroeck

Metal-organic frameworks (MOFs) are highly interesting and tunable materials. By incorporating spatial defects into their atomic structure, MOFs can be finetuned to exhibit precise…

physics.chem-ph2024

Rare Event Sampling using Smooth Basin Classification

Sander Vandenhaute, Tom Braeckevelt, Pieter Dobbelaere +2

The efficiency of atomic simulations of materials and molecules can rapidly deteriorate when large free energy barriers exist between local minima. We propose smooth basin classifi…