PhD Defense: Murat Cihan Sorkun

PhD researcher Murat Sorkun will defend his thesis 'Artificial Intelligence-driven Discovery of Materials for Energy Applications'

Research summary
In recent years, artificial intelligence (AI) methods have prominently proven their use in solving complex problems. Across science and engineering disciplines, the data-driven approach has become the fourth and newest paradigm. The burgeoning of findable, accessible, interoperable, and reusable (FAIR) data, which is generated by the first three paradigms of experiment, theory, and simulation, has empowered the application of AI methods for the discovery and design of molecules and materials. This thesis focuses on the AI-driven discovery of: (I) electroactive molecules for energy storage in aqueous organic redox flow batteries (AORFBs), and (II) two-dimensional (2D) materials for solar fuel generation.

Thesis
Artificial Intelligence-driven Discovery of Materials for Energy Applications

1^st promotor: prof. dr. ir. J.M.V.A. Koelman
2^nd promotor: prof. dr. M.R. de Baar
Co-promotor: dr. S. Er (DIFFER)
Members: prof. dr. S. Calero, prof. dr. M. Dijkstra (Universiteit Utrecht), prof. dr. J.L. Reymond (University of Bern)

Public link to attend the defense