What have we learned from the development of HORTON? T. Verstraelen ISBN/ISSN:TalkConference / event / venue Visit Maison de la SimulationSaclay, FranceMonday, 13 June, 2016 Read more about What have we learned from the development of HORTON?
Minimal Basis Iterative Stockholder (MBIS): atoms-in-molecules for force field development T. Verstraelen ISBN/ISSN:TalkConference / event / venue Visit Laboratoire de Chimie Théoretique, UPMCParis, FranceWednesday, 8 June, 2016 Read more about Minimal Basis Iterative Stockholder (MBIS): atoms-in-molecules for force field development
A New Framework for Ab Initio Polarizable Force Fields T. Verstraelen ISBN/ISSN:TalkConference / event / venue Visit Phenix Lab, UPMCParis, FranceMonday, 30 May, 2016 Read more about A New Framework for Ab Initio Polarizable Force Fields
Physically motivated force fields for noncovalent interactions T. Verstraelen ISBN/ISSN:TalkConference / event / venue Visit Software for Chemistry and MaterialsAmsterdam, The NetherlandsThursday, 19 May, 2016 Read more about Physically motivated force fields for noncovalent interactions
Evaluating a linear machine learning force field for aluminium M. Cools-Ceuppens, T. Verstraelen ISBN/ISSN:TalkConference / event / venue L'intelligence artificielle pour la chimie des matériauxParis, FranceTuesday, 25 September, 2018 Read more about Evaluating a linear machine learning force field for aluminium
A full computational characterization of the impact of defects on the mechanical stability and gas separation ability of MOFs S.M.J. Rogge, J. Wieme, R. Demuynck, L. Vanduyfhuys, S. Vandenbrande, T. Verstraelen, M. Waroquier, G. Maurin, V. Van Speybroeck ISBN/ISSN:TalkConference / event / venue docMOF SymposiumRaitenhaslach, GermanyMonday, 30 April, 2018 to Wednesday, 2 May, 2018 Read more about A full computational characterization of the impact of defects on the mechanical stability and gas separation ability of MOFs
Towards modeling long-range disorder in MOFs: Development of a computational toolbox to extend the length scale in molecular simulations S.M.J. Rogge, R. Demuynck, A. De Vos, K. Hendrickx, K. Lejaeghere, G. Maurin, S. Vandenbrande, S. Vandenhaute, P. Van der Voort, L. Vanduyfhuys, T. Verstraelen, M. Waroquier, J. Wieme, V. Van Speybroeck ISBN/ISSN:Invited talkConference / event / venue CECAM workshop: Multi-scale modelling of flexible and disordered porous materialsParis, FranceMonday, 11 June, 2018 to Wednesday, 13 June, 2018 Read more about Towards modeling long-range disorder in MOFs: Development of a computational toolbox to extend the length scale in molecular simulations
Chemical bonds in crystals: a machine learning view Read more about Chemical bonds in crystals: a machine learning view
Machine learning for material discovery and material design Read more about Machine learning for material discovery and material design
Rheological Modelling of Lubricants by Molecular Dynamics Read more about Rheological Modelling of Lubricants by Molecular Dynamics