V. Van Speybroeck
Efficiently overcoming free energy barriers through the identification of collective variables via machine learning approaches
Development of on-the-fly machine learning potentials to investigate phase transformation mechanisms in perovskites
Developing cooperative strain fields to study the long-range impact of localized defects in ZIF-8
Designing the shock absorbers of tomorrow: Understanding the intrusion and structure of confined water in nanoporous ZIFs
Defect migration in metal halide perovskites using machine learning potentials
Defect engineering in UiO-66 following a combined experimental/theoretical approach
Computationally designing guest-loaded covalent organic frameworks for next-generation fuel cells
Computational modeling of structured polymers for advanced gas separation
Operando Raman spectroscopy to pinpoint the onset of deactivation in zeolites
ISBN/ISSN:
Talk
Conference / event / venue
The Netherlands' Catalysis and Chemistry Conference
online
Monday, 1 March, 2021