Total Scattering and Reverse Monte Carlo Modelling of Disordered Crystalline Materials

Author(s):  
Matthew G. Tucker ◽  
Martin T. Dove ◽  
David A. Keen
2019 ◽  
Vol 55 (17) ◽  
pp. 2517-2520 ◽  
Author(s):  
Naoto Kitamura ◽  
Yuhei Tanabe ◽  
Naoya Ishida ◽  
Yasushi Idemoto

The atomic structure of a spinel-type MgCo2O4 nanoparticle was investigated by the reverse Monte Carlo modelling using X-ray and neutron total scattering data.


Author(s):  
A. Mellergård ◽  
R. L. McGreevy

A new reverse Monte Carlo (RMC) method for modelling both lattice and magnetic disorder in powder crystalline materials by direct calculation of the structure factor has been developed. The method, the program and the basic theory are described in some detail. Initial results from modelling the lattice and magnetic structure of MnO around the Néel temperature are also presented.


Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1947
Author(s):  
Henrik Mauroy ◽  
Konstantin Klyukin ◽  
Marina G. Shelyapina ◽  
David A. Keen ◽  
Annett Thøgersen ◽  
...  

Ti-V-based body-centered cubic (BCC) alloys have potential for large-scale hydrogen storage if expensive vanadium is substituted with much cheaper Fe-containing ferrovanadium. Use of ferrovanadium reduces the alloys’ hydrogen storage capacity. This is puzzling since the amount of Fe is low and hydrogen atoms are accommodated in interstitial sites which are partly coordinated by Fe in many intermetallic compounds. The present work is aimed at finding a structural explanation for Fe-induced capacity loss in Ti-V alloys. Since such alloys and their hydrides are highly disordered without long-range occupational order of the different metal species, it was necessary to employ a technique which is sensitive to local structure. Neutron total scattering coupled with reverse Monte Carlo modelling was thus employed to elucidate short-range atomic correlations in Ti0.63V0.27Fe0.10D1.73 from the pair distribution function. It was found that Fe atoms form clusters and that the majority of the vacant interstitial sites are within these clusters. These clusters take the same face-centered cubic structure as the Ti-V matrix in the deuteride and thus they are not simply unreacted Fe which has a BCC structure. The presence of Fe clusters is confirmed by transmission electron microscopy. Density functional theory calculations indicate that the clustering is driven by thermodynamics.


2020 ◽  
Vol 53 (6) ◽  
pp. 1509-1518
Author(s):  
Yuanpeng Zhang ◽  
Maksim Eremenko ◽  
Victor Krayzman ◽  
Matthew G. Tucker ◽  
Igor Levin

Reported here are the development and application of new capabilities in the RMCProfile software for structural refinements using the reverse Monte Carlo (RMC) method. An algorithm has been implemented to enable the use of arbitrary peak-shape functions in the modeling of Bragg diffraction patterns and instrumental resolution effects on total-scattering data. This capability eliminates the dependence of RMCProfile on preset functions, which are inadequate for data produced by some total-scattering instruments, e.g. NOMAD at the Spallation Neutron Source (SNS) at Oak Ridge, Tennessee, USA. The recently developed procedure for the instrument-resolution correction has been modified to improve its accuracy, which is critical for recovering nanoscale structure. The ability to measure fine details of local and nanoscale structures with high fidelity is required because such features are increasingly exploited in the design of materials with enhanced functional properties. The new methodology has been tested via RMC refinements of large-scale atomic configurations (distances up to 8 nm) for SrTiO3 using neutron total-scattering data collected on the Polaris and NOMAD time-of-flight powder diffractometers at the ISIS facility (Didcot, Oxfordshire, UK) and SNS, respectively. While the Polaris instrument is known to provide the high-quality data needed for RMC analysis, the similar and sound atomic configurations obtained from both instruments confirmed that the NOMAD data are also suitable for RMC refinements over a broad distance range.


2010 ◽  
Vol 58 (16) ◽  
pp. 5502-5510 ◽  
Author(s):  
Diana E. Nanu ◽  
Matthew G. Tucker ◽  
Wim G. Haije ◽  
Jaap F. Vente ◽  
Amarante J. Böttger

2007 ◽  
Vol 19 (33) ◽  
pp. 335214 ◽  
Author(s):  
Qun Hui ◽  
Martin T Dove ◽  
Matthew G Tucker ◽  
Simon A T Redfern ◽  
David A Keen

2001 ◽  
Vol 34 (5) ◽  
pp. 630-638 ◽  
Author(s):  
Matthew G. Tucker ◽  
Martin T. Dove ◽  
David A. Keen

An implementation of the reverse Monte Carlo (RMC) method for the study of crystalline materials from polycrystalline neutron total scattering data is presented. The new feature is that explicit account is taken of the intensities of Bragg peaks, which are extracted from the data using the Pawley method. The use of Bragg peaks ensures that the RMC models reproduce both the long-range and the short-range order reflected in the experimental data. The relative effects of different contributions to the data sets in the RMC method are assessed and successful applications are illustrated using the quartz and cristobalite polymorphs of silica as examples.


2019 ◽  
Vol 100 (10) ◽  
Author(s):  
Juan Du ◽  
Anthony E. Phillips ◽  
Donna C. Arnold ◽  
David A. Keen ◽  
Matthew G. Tucker ◽  
...  

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