MLP-Driven Monte Carlo Exploration of Al/Si Zeolite Configurations K. Di Piro, J. Vekeman, T. Verstraelen ISBN/ISSN:PosterBrussel, BelgiumFriday, 12 December, 2025 Read more about MLP-Driven Monte Carlo Exploration of Al/Si Zeolite Configurations
Robust Derivation of Uncertainties, Correlation Times, and Transport Properties from Molecular Dynamics Simulations: A Force Field Validation Study on Squalane R. Bohy, G. Toraman, D. Fauconnier, T. Verstraelen ISBN/ISSN:PosterBrussel, BelgiumFriday, 12 December, 2025 Read more about Robust Derivation of Uncertainties, Correlation Times, and Transport Properties from Molecular Dynamics Simulations: A Force Field Validation Study on Squalane
Transport Properties, Correlation Times, and Uncertainties in Molecular Dynamics Simulations with the STable AutoCorrelation Integral Estimator Applied to Squalane R. Bohy, G. Toraman, D. Fauconnier, T. Verstraelen ISBN/ISSN:PosterAmsterdam, The NetherlandsMonday, 5 January, 2026 to Friday, 16 January, 2026 Read more about Transport Properties, Correlation Times, and Uncertainties in Molecular Dynamics Simulations with the STable AutoCorrelation Integral Estimator Applied to Squalane
New frontiers in modeling adsorption in metal-organic frameworks accounting for flexibility and accurate intermolecular interactions V. Van Speybroeck, R. Goeminne, S. Ravichandran, T. Verstraelen, L. Vanduyfhuys ISBN/ISSN:KeynoteConference / event / venue 6th European Conference on Metal Organic Frameworks and Porous PolymersHeraklion, Crete-GreeceSunday, 21 September, 2025 to Wednesday, 24 September, 2025 Read more about New frontiers in modeling adsorption in metal-organic frameworks accounting for flexibility and accurate intermolecular interactions
Model-Informed Training Data Curation for Reactive All-Atom Potentials L. Dumortier Fri, 20/06/2025iGent tower, Technologiepark, ZwijnaardeSupervisors Prof. Dr. ir. Toon Verstraelen, dr. Jelle Vekeman, dr. Theodorus De Bruin and dr. Benoît Creton Read more about Model-Informed Training Data Curation for Reactive All-Atom Potentials
Inverse design of energy materials using atomistic deep learning R. Jennen Master of Science in Sustainable Materials Engineering2023Supervisors Prof. Dr. Stefaan Cottenier; Prof. Dr. ir. Toon Verstraelen Read more about Inverse design of energy materials using atomistic deep learning
DFT-Quality Adsorption Simulations in Rigid and Flexible Metal–Organic Frameworks Enabled by Machine Learning Potentials R. Goeminne, L. Vanduyfhuys, T. Verstraelen, V. Van Speybroeck ISBN/ISSN:TalkConference / event / venue MOFSIM2024Montpellier, FranceWednesday, 10 April, 2024 to Friday, 12 April, 2024 Read more about DFT-Quality Adsorption Simulations in Rigid and Flexible Metal–Organic Frameworks Enabled by Machine Learning Potentials
Nuclear quantum effects in proton transfer reactions A. Lamaire, M. Bocus, R. Goeminne, S. Vandenhaute, M. Cools-Ceuppens, T. Verstraelen, V. Van Speybroeck ISBN/ISSN:TalkConference / event / venue Quantum2 on machine learning enhanced samplingLausanne, SwitzerlandWednesday, 29 November, 2023 to Friday, 1 December, 2023 Read more about Nuclear quantum effects in proton transfer reactions
Development and Applications of the Frequency-Dependent Polarizable Force Field ACKS2ω Y.X. Cheng Mon, 13/11/2023Campus Sterre S2 Krijgslaan 281, 9000 Genthttps://biblio.ugent.be/publication/01HFBGCC96FYEQW0FVQBK4W101Supervisors Prof. Dr. ir. Toon Verstraelen Read more about Development and Applications of the Frequency-Dependent Polarizable Force Field ACKS2ω
New tools for high-dimensional, expensive, black-box global optimization functions applied to ReaxFF parameterizations M. Freitas Gustavo Thu, 29/06/2023Faculty of Engineering and Architecture, Jozef Plateaustraat, Ghenthttps://biblio.ugent.be/publication/01H4ECCPZ05Q4T3AD186RAJ2G7Supervisors Prof. Dr. ir. T. Verstraelen Read more about New tools for high-dimensional, expensive, black-box global optimization functions applied to ReaxFF parameterizations