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Focus issue on studies of structural disorder using reverse Monte Carlo methods

Guest Editor: David Keen


Participants at the RMC conference in Budapest, 17-19 September 2015

Understanding how structure underpins the physical properties of materials continues to be an active area of research worldwide. Increasingly those working in this area are required to not just investigate structures with regular atomic arrangements but to also develop and use methods and protocols for interrogating systems where the structure is disordered and not amenable to regular crystallographic techniques. The reverse Monte Carlo (RMC) method is one such technique; it has been developed over the last 27 years and is capable of determining the disordered atomic arrangements of liquids, glasses and crystalline systems from routine x-ray and neutron diffraction measurements.

Every three years the RMC community meets in Budapest to discuss current work and to encourage each other in new endeavours. The invited papers presented in this focus issue are a flavour of the original research that was discussed during the most recent meeting in September 2015 (see the RMC Conference).

Editorial

Papers
Local structure of copper nitride revealed by EXAFS spectroscopy and a reverse Monte Carlo/evolutionary algorithm approach

Janis Timoshenko et al 2016 Phys. Scr. 91 054003

Extended x-ray absorption fine structure (EXAFS) spectroscopy combined with reverse Monte Carlo (RMC) and evolutionary algorithm (EA) modelling is used to advance the understanding of the local structure and lattice dynamics of copper nitride (Cu3N). The RMC/EA-EXAFS method provides a possibility to probe correlations in the motion of neighboring atoms and allows us to analyze the influence of anisotropic motion of copper atoms in Cu3N.

Basic network structure of SiO2–B2O3–Na2O glasses from diffraction and reverse Monte Carlo simulation

M Fábián and Cs Araczki 2016 Phys. Scr. 91 054004

Neutron- and high-energy synchrotron x-ray diffraction experiments have been performed on the (75−x)SiO2xB2O3–25Na2O x = 5, 10, 15 and 20 mol% glasses. The structure factor has been measured over a broad momentum transfer range, between 0.4 and 22 Å−1. For data analyses and modelling the Fourier transformation and the reverse Monte Carlo simulation techniques have been applied. The partial atomic pair correlation functions, the nearest neighbour distances, coordination number distributions and average coordination number values and three-particle bond angle distributions have been revealed. The Si–O network proved to be highly stable consisting of SiO4 tetrahedral units with characteristic distances at rSi–O = 1.60 Å and rSi–Si = 3.0(5) Å. The behaviour of network forming boron atoms proved to be more complex. The first neighbour B–O distances show two distinct values at 1.30 Å and a characteristic peak at 1.5(5) Å and, both trigonal BO3 and tetrahedral BO4 units are present. The relative abundance of BO4 and BO3 units depend on the boron content, and with increasing boron content the number of BO4 is decreasing, while BO3 is increasing.

Atomistic simulations of the Fe K-edge EXAFS in FeF3 using molecular dynamics and reverse Monte Carlo methods

Inga Jonane et al 2016 Phys. Scr. 91 104001

Atomistic simulations of the experimental Fe K-edge extended x-ray absorption fine structure (EXAFS) of rhombohedral (space group $R\bar{3}c$) FeF3 at T = 300 K were performed using classical molecular dynamics and reverse Monte Carlo (RMC) methods. The use of two complementary theoretical approaches allowed us to account accurately for thermal disorder effects in EXAFS and to validate the developed force-field model, which was constructed as a sum of two-body Buckingham-type (Fe–F and F–F), three-body harmonic (Fe–F–Fe) and Coulomb potentials. We found that the shape of the Fe K-edge EXAFS spectrum of FeF3 is a more sensitive probe for the determination of potential parameters than the values of structural parameters (a, c, x(F)) available from diffraction studies. The best overall agreement between the experimental and theoretical EXAFS spectra calculated using ab initio multiple-scattering approach was obtained for the iron effective charge q(Fe) = 1.71. The RMC method coupled with the evolutionary algorithm was used for more elaborate analysis of the EXAFS data. The obtained results suggest that our force-field model slightly underestimates the amplitude of thermal vibrations of fluorine atoms in the direction perpendicular to the Fe–F bonds.

Chemical ordering in Pd81Ge19 metallic glass studied by reverse Monte-Carlo modelling of XRD, ND and EXAFS experimental data

Ildikó Pethes et al 2016 Phys. Scr. 91 104004

Pd81Ge19 metallic glass was investigated by neutron diffraction, x-ray diffraction and extended x-ray absorption fine structure spectroscopy at the Ge K-edge. Large scale structural models were obtained by fitting the three measurements simultaneously in the framework of the reverse Monte Carlo simulation technique. It was found that the experimental data sets can be adequately fitted without Ge–Ge nearest neighbours. Mean Pd–Pd and Pd–Ge distances are 2.80 ± 0.02 Å and 2.50 ± 0.02 Å, respectively. The total average coordination number of Pd is 12.1 ± 0.5 while Ge is surrounded by 10.6 ± 1.1 Pd atoms. The coordination numbers calculated from partial pair correlation functions were compared to those obtained by Voronoi tessellation method. It was found that the latter technique overestimates the number of nearest neighbours by about 20% due to the significant contribution of distant pairs.

Molecular dynamics and reverse Monte Carlo modeling of scheelite-type AWO4 (A = Ca, Sr, Ba) W L3-edge EXAFS spectra

Aleksandr Kalinko et al 2016 Phys. Scr. 91 114001

Classical molecular dynamics (MD) and reverse Monte Carlo methods coupled with ab initio multiple-scattering extended x-ray absorption fine structure (EXAFS) calculations were used for modeling of scheelite-type AWO4 (A = Ca, Sr, Ba) W L3-edge EXAFS spectra. The two theoretical approaches are complementary and allowed us to perform analysis of full EXAFS spectra. Both methods reproduce well the structure and dynamics of tungstates in the outer coordination shells, however the classical MD simulations underestimate the W–O bond MSRD due to a neglect of quantum zero-point-motion. The thermal vibration amplitudes, correlation effects and anisotropy of the tungstate structure were also estimated.

Open access
Exploration of antiferromagnetic CoO and NiO using reverse Monte Carlo total neutron scattering refinements

Lisa Timm et al 2016 Phys. Scr. 91 114004

The atomic and magnetic structures of CoO and NiO have been probed using reverse Monte Carlo (RMC) refinements of neutron total scattering data. The results obtained show that the known magnetic structure for NiO can be recovered by the RMC process starting from random spin configurations, but it is insensitive to the spin direction in the {111} ferromagnetic planes. Refinements of the magnetic structure of CoO starting from random spin configurations result in collinear or non-collinear magnetic structures, consistent with those reported by other techniques. Starting from an ordered collinear spin structure for CoO and NiO leads to different results than when starting from a random arrangement of spins, which is evidence for configurational bias that highlights the need to take care when selecting a starting model for RMC refinements of magnetic structures.

Comparison of interatomic potentials of water via structure factors reconstructed from simulated partial radial distribution functions: a reverse Monte Carlo based approach

Zsuzsanna Steinczinger et al 2017 Phys. Scr. 92 014001

Neutron- and x-ray weighted total structure factors of liquid water have been calculated on the basis of the intermolecular parts of partial radial distribution functions resulting from various computer simulations. The approach includes reverse Monte Carlo (RMC) modelling of these partials, using realistic flexible molecules, and the calculation of experimental diffraction data, including the intramolecular contributions, from the RMC particle configurations. The procedure has been applied to ten sets of intermolecular partial radial distribution functions obtained from various computer simulations, including one set from an ab initio molecular dynamics, of water. It is found that modern polarizable water potentials, such as SWM4-DP and BK3 are the most successful in reproducing measured diffraction data.

Open access
Reverse Monte Carlo studies of CeO2 using neutron and synchrotron radiation techniques

Adam H Clark et al 2017 Phys. Scr. 92 034002

A reverse Monte Carlo analysis method was employed to extract the structure of CeO2 from Neutron total scattering (comprising both neutron diffraction (ND) and pair-distribution functions (PDF) and Ce L3- and K-edge EXAFS data. Here it is shown that there is a noticeable difference between using short ranged x-ray absorption spectroscopy data and using medium-long range PDF and ND data in regards to the disorder of the cerium atoms. This illustrates the importance of considering multiple length scales and radiation sources.