Oxygen-oxygen correlations in liquid water: Addressing the discrepancy between diffraction and EXAFS using a novel multiple –data set fitting technique
2010 (English)In: Journal of Chemical Physics, ISSN 0021-9606, E-ISSN 1089-7690, Vol. 132, no 10Article in journal (Refereed) Published
The first peak of the oxygen-oxygen pair-correlation function (O-O PCF) is a critical measure of the first coordination shell distances in liquid water. Recently, a discrepancy has been uncovered between diffraction and extended x-ray absorption fine-structure (EXAFS) regarding the height and position of this peak, where EXAFS gives a considerably more well-defined peak at a shorter distance compared with diffraction results. This discrepancy is here investigated through a new multiple data set structure modeling technique, SpecSwap-RMC, based on the reverse Monte Carlo (RMC) method. Fitting simultaneously to both EXAFS and a diffraction-based O-O PCF shows that, even though the reported EXAFS results disagree with diffraction, the two techniques can be reconciled by taking into account a strong contribution from the focusing effect originating from nearly linear hydrogen bonds. This many-body contribution, which is usually neglected in RMC modeling of EXAFS data, is included in the fits by precomputing and storing EXAFS signals from real-space multiple-scattering calculations on a large number of unique water clusters. On the other hand, fitting also the O-O PCF from diffraction is seen to enhance the amount of structural disorder in the joint fit. Thus, both nearly linear hydrogen bonds and local structural disorder are important to reproduce diffraction and EXAFS simultaneously. This work also illustrates a few of many possible uses of the SpecSwap-RMC method in modeling disordered materials, particularly for fitting computationally demanding techniques and combining multiple data sets.
Place, publisher, year, edition, pages
2010. Vol. 132, no 10
EXAFS, hydrogen bonds, water, X-ray diffraction
Atom and Molecular Physics and Optics
IdentifiersURN: urn:nbn:se:su:diva-31450DOI: 10.1063/1.3330752OAI: oai:DiVA.org:su-31450DiVA: diva2:277040