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- Journal Article
- A1
- open access
The effect of the A-site cation on the phase transition temperature of metal halide perovskites
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- Journal Article
- A1
- open access
A novel NPT thermodynamic integration scheme to derive rigorous Gibbs free energies for crystalline solids
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- PhD Thesis
- open access
Accelerating molecular simulation using machine learning : from wave functions to thermodynamics
(2025) -
- Journal Article
- A1
- open access
Cluster-based machine learning potentials to describe disordered metal-organic frameworks up to the mesoscale
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- Journal Article
- A1
- open access
The operando nature of isobutene adsorbed in Zeolite H‐SSZ‐13 unraveled by machine learning potentials beyond DFT accuracy
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- Journal Article
- A1
- open access
Water motifs in zirconium metal-organic frameworks induced by nanoconfinement and hydrophilic adsorption sites
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Nuclear quantum effects in proton transfer reactions
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- Journal Article
- A1
- open access
Machine learning potentials for metal-organic frameworks using an incremental learning approach
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Accurately determining the transition temperature of metal halide perovskites via RPA calculations and phase-transferable machine learning potentials
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Machine learning potentials for metal-organic frameworks with thermodynamic transferability