In the search for
sustainable energy solutions, the idea of artificial photosynthesis has been
proposed as an approach with which to use water and sunlight to produce
hydrogen. Key in the development of hydrogen production technologies is the
splitting of water using a water oxidation catalyst. In this thesis, the water
splitting catalytic process was investigated using a number of different
computational techniques. Computationally, the water splitting catalytic
process has traditionally been considered statically as a number of snapshots,
and in vacuum. The traditional approaches also often include a number of
correction factors for the charge carriers in the reaction.
But because catalytic processes are dynamic, a novel approach was also
developed in this thesis. With this approach, one can examine the dynamic
transition from one catalytic intermediate to another, in a fully solvated
environment. In optimising water oxidation catalysts it is important to
consider the interaction with the surrounding environment, and how this can
impact the catalytic reaction. Furthermore, in the new approach all the charge
carriers–protons and electrons–are included in a dynamic simulation. These
techniques give us a better idea of the things needed in the optimisation of
water oxidation catalysts.This research was financed by Leiden University, and co-financed by the Dutch
Ministry of Economic Affairs as part of the BioSolar Cells research project C1.9.
The use of supercomputer facilities was sponsored by NWO Exact and Natural SciencesSolid state NMR/Biophysical Organic Chemistr