S.M.J. Rogge

Quantifying the likelihood of structural models through a dynamically enhanced powder X-ray diffraction protocol

S. Borgmans, S.M.J. Rogge, J. De Vos, C.V. Stevens, P. Van der Voort, V. Van Speybroeck

ISBN/ISSN:

Poster

Conference / event / venue

EUROMOF2021

Online

Monday, 13 September, 2021 to Wednesday, 15 September, 2021

Harder, better, faster, stronger: Designing hydrophobic cage network materials for efficient high-rate shock absorption

ISBN/ISSN:

Invited talk

Conference / event / venue

FOR2433 meeting

Online

Thursday, 8 July, 2021

Translating chemical intuition to machine learning algorithms: identifying promising next-generation methane storage materials

Towards realistic models for metal-organic frameworks: How defects impact the spatiotemporal response

Towards realistic computational models of nanoporous materials using dimensionality reduction methods

One crystal, two phases: Designing phase coexistence in metal-organic frameworks

Layers under stress: Derivation of stress algorithms to control the interlayer shearing in 2D covalent organic frameworks

From the atom to the material: The micromechanical model to convert atomic information to macroscopic phenomena

Forming porous ice in nanoporous materials: Nucleation of clathrates to store and transport natural gas

Efficiently overcoming free energy barriers through the identification of collective variables via machine learning approaches

Pages