People

Bowen Sha. Molecular modeling of PFAS removal with novel cyclodextrin-based adsorbents.
Cole Brzakala. Artificial Intelligence to accelerate molecular simulations for design of PFAS absorbents, w/ Riccardo Taormina, CITG TU Delft.
Vladimir Jelle Lagerweij. Machine learning and molecular modeling of aqueous electrolyte solutions, w/ Thijs Vlugt.

Nikolaos-Marinos Tzitzikopoulos Modeling of magnetocaloric materials for heat pump design, w/ Magneto systems.
Anneke Guluma Molecular modeling and machine learning of lithium recovery for the recycling of Li-batteries, w/ Dr. Alexandros Vasileiadis, Reactor Institute TU Delft.
Declan Wee Hong Xiang Declan Development of machine learning potentials for aqueous electrolytes.
Jordi Vlak Modeling of a modular water electrolysis system, w/ XINTC.

Nienke van Doorn System integration tool – Developing machine learning algorithms to predict prices in electricity and balancing markets, w/ Ventolines.