Ph.D. Thesis: Structure Modeling with X-ray Absorption and Reverse Monte Carlo: Applications to Water
by
Mikael Leetmaa(Stockholm University, Department of Physics)
→
Europe/Stockholm
FB53
FB53
Description
Water is an important substance. It is part of us, of our environment, and is a fundamental
prerequisite for the existence of life as we know it. The structure of water is still, after over 100
years of research on the subject, however under debate. In this thesis x-ray absorption spectroscopy
(XAS) and reverse Monte Carlo (RMC) modeling are used to search for structural solutions of
water consistent with many different experimental data sets, with emphasis on the combination
of different experimental techniques for a reliable structure determination. Neutron and x-ray
diffraction are analyzed in combination with the more recent synchrotron radiation based XAS.
Geometrical criteria for H-bonding are implemented in RMC to drive the fits and allow to evaluate
differently H-bonded structure models against the data. It is shown that the available diffraction
data put little constraints on the type of H-bond topology or O-O-O tetrahedrality for the structure
of liquid water. It is also demonstrated that classical MD simulations, using some of the most
common interaction potentials for water, give rise to O-O and O-H pair-correlation functions with
too sharp first peaks at too short distances to be in agreement with diffraction, and furthermore
that requiring a large fraction of broken H-bonds is not in itself enough for a structure model to
reproduce the experimental XAS. A contribution to the theoretical description of XAS is made
by an in-depth investigation of important technical aspects of the TP-DFT spectrum calculations.
A novel approach to RMC, applicable also to data that require a significant amount of computer
time to evaluate, is developed which makes use of pre-computed properties from a large set of
local geometries allowing RMC simulations directly on data from core-level spectroscopies such
as XAS.