Oxygen-oxygen correlations in liquid water: Addressing the discrepancy between diffraction and extended x-ray absorption fine-structure using a novel multiple-data set fitting technique-Reference-Cited by-同舟云学术

Oxygen-oxygen correlations in liquid water: Addressing the discrepancy between diffraction and extended x-ray absorption fine-structure using a novel multiple-data set fitting technique

Published:2010-03-14 Issue:10 Volume:132 Page:104513
ISSN:0021-9606
Container-title:The Journal of Chemical Physics
language:en
Short-container-title:The Journal of Chemical Physics

Author:

Wikfeldt Kjartan Thor,Leetmaa Mikael,Mace Amber,Nilsson Anders,Pettersson Lars G. M.

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://aip.scitation.org/doi/pdf/10.1063/1.3330752

Reference49 articles.

1. Tests of the empirical potential structure refinement method and a new method of application to neutron diffraction data on water

2. Observed Diffraction Pattern and Proposed Models of Liquid Water

3. Diffraction and IR/Raman data do not prove tetrahedral water

4. A high-quality x-ray scattering experiment on liquid water at ambient conditions

5. The radial distribution functions of water and ice from 220 to 673 K and at pressures up to 400 MPa

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applications of X-ray Absorption Fine Structure Spectroscopy in the Photocatalytic Conversion of Small Molecules;ACS Catalysis;2023-05-01

2. The local structure of water from combining diffraction and X-ray spectroscopy;Journal of Non-Crystalline Solids: X;2022-06

3. X-ray emission spectroscopy: a genetic algorithm to disentangle core–hole-induced dynamics;Theoretical Chemistry Accounts;2021-11-29

4. Polarizable Multipolar Molecular Dynamics Using Distributed Point Charges;Journal of Chemical Theory and Computation;2020-11-27

5. Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part II: Quantitative Fitting of Spectra;Chemistry of Materials;2019-10-28