Methane adsorption in DUT-49: an exploration of the osmotic landscape R. Goeminne ISBN/ISSN:Invited talkConference / event / venue Inorganic chemistry groupDresden, GermanyThursday, 1 April, 2021 Read more about Methane adsorption in DUT-49: an exploration of the osmotic landscape
Ranking molecular crystals with a many-body expansion Read more about Ranking molecular crystals with a many-body expansion
Machine learning of the ground state density of molecules for force field development Read more about Machine learning of the ground state density of molecules for force field development
Is classic enough? Exploring how nuclear quantum effects affect proton mobility in zeolites through ab initio-derived machine learning potentials Read more about Is classic enough? Exploring how nuclear quantum effects affect proton mobility in zeolites through ab initio-derived machine learning potentials
Improved force-field approximations of symmetry-adapted perturbation theory Read more about Improved force-field approximations of symmetry-adapted perturbation theory
Developing a Hybrid Monte Carlo Algorithm for Peptides through Kernel Machine Learning Read more about Developing a Hybrid Monte Carlo Algorithm for Peptides through Kernel Machine Learning
Development of a semi-analytic thermodynamic model for the grand canonical potential of flexible MOFs Read more about Development of a semi-analytic thermodynamic model for the grand canonical potential of flexible MOFs
Improved force-field approximations of symmetry-adapted perturbation theory Read more about Improved force-field approximations of symmetry-adapted perturbation theory
Ranking molecular crystals with a many-body expansion Read more about Ranking molecular crystals with a many-body expansion
Machine learning of atomic polarizabilities for polarizable force field development Read more about Machine learning of atomic polarizabilities for polarizable force field development