Abstract
A user-friendly program has been developed to analyze diffuse scattering from single crystals with the reverse Monte Carlo method. The approach allows for refinement of correlated disorder from atomistic supercells with magnetic or structural (occupational and/or displacive) disorder. The program is written in Python and optimized for performance and efficiency. Refinements of two user cases obtained with legacy neutron-scattering data demonstrate the effectiveness of the approach and the developed program. It is shown with bixbyite, a naturally occurring magnetic mineral, that the calculated three-dimensional spin-pair correlations are resolved with finer real-space resolution compared with the pair distribution function calculated directly from the reciprocal-space pattern. With the triangular lattice Ba3Co2O6(CO3)0.7, refinements of occupational and displacive disorder are combined to extract the one-dimensional intra-chain correlations of carbonate molecules that move toward neighboring vacant sites to accommodate strain induced by electrostatic interactions. The program is packaged with a graphical user interface and extensible to serve the needs of single-crystal diffractometer instruments that collect diffuse-scattering data.
Original language | English |
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Pages (from-to) | 1867-1885 |
Number of pages | 19 |
Journal | Journal of Applied Crystallography |
Volume | 54 |
DOIs | |
State | Published - Dec 1 2021 |
Bibliographical note
Publisher Copyright:© 2021 International Union of Crystallography. All rights reserved.
Funding
Research at Oak Ridge National Laboratory (ORNL) Spallation Neutron Source (SNS) was sponsored by the Scientific User Facilities Division, Office of Basic Energy Sciences, US Department of Energy (DOE). ZJM acknowledges support from the Higher Education Research Experience at ORNL. The work of HDZ at the University of Tennessee [crystal growth of Ba3Co2O6(CO3)0.7] was supported by the US DOE, Office of Science, Office of Basic Energy Sciences, Materials Sciences and Engineering Division under award DE-SC-0020254.
Funders | Funder number |
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Scientific User Facilities Division | |
U.S. Department of Energy | |
Office of Science | |
Basic Energy Sciences | |
Oak Ridge National Laboratory | |
University of Tennessee | |
Division of Materials Sciences and Engineering | DE-SC-0020254 |
Keywords
- Monte Carlo refinement
- correlated disorder
- diffuse scattering
- rmc-discord
- single crystals
- supercells