New capabilities for enhancement of RMCProfile: instrumental profiles with arbitrary peak shapes for structural refinements using the reverse Monte Carlo method

被引:30
作者
Zhang, Yuanpeng [1 ,2 ]
Eremenko, Maksim [2 ]
Krayzman, Victor [2 ]
Tucker, Matthew G. [1 ]
Levin, Igor [2 ]
机构
[1] Oak Ridge Natl Lab, Neutron Scattering Div, Oak Ridge, TN 37831 USA
[2] NIST, Mat Measurement Sci Div, Gaithersburg, MD 20899 USA
基金
英国科学技术设施理事会;
关键词
structural refinements; reverse Monte Carlo; instrumental profiles; SRTIO3; SCATTERING;
D O I
10.1107/S1600576720013254
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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 8nm) 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.
引用
收藏
页码:1509 / 1518
页数:10
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