Literature DB >> 21694141

RMCProfile: reverse Monte Carlo for polycrystalline materials.

Matthew G Tucker1, David A Keen, Martin T Dove, Andrew L Goodwin, Qun Hui.   

Abstract

A new approach to the reverse Monte Carlo analysis of total scattering data from polycrystalline materials is presented. The essential new feature is the incorporation of an explicit analysis of the Bragg peaks using a profile refinement, taking account of the instrument resolution function. Other new features including fitting data from magnetic materials, modelling lattice site disorder and new restraint and constraint options. The new method is demonstrated by a brief review of studies carried out during its development. The new program RMCProfile represents a significant advance in the analysis of polycrystalline total scattering data, especially where the local structure is to be explored within the true constraints of the long-range average structure.

Year:  2007        PMID: 21694141     DOI: 10.1088/0953-8984/19/33/335218

Source DB:  PubMed          Journal:  J Phys Condens Matter        ISSN: 0953-8984            Impact factor:   2.333


  28 in total

1.  Average and Local Structure of Apatite-Type Germanates and Implications for Oxide Ion Conductivity.

Authors:  Matthew S Chambers; Philip A Chater; Ivana Radosavljevic Evans; John S O Evans
Journal:  Inorg Chem       Date:  2019-10-16       Impact factor: 5.165

Review 2.  The crystallography of correlated disorder.

Authors:  David A Keen; Andrew L Goodwin
Journal:  Nature       Date:  2015-05-21       Impact factor: 49.962

3.  The rise of the X-ray atomic pair distribution function method: a series of fortunate events.

Authors:  Simon J L Billinge
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-06-17       Impact factor: 4.226

4.  Calculation of total scattering from a crystalline structural model based on experimental optics parameters.

Authors:  Satoshi Hiroi; Koji Ohara; Satoru Ohuchi; Yukihiro Umetani; Takashi Kozaki; Emiko Igaki; Osami Sakata
Journal:  J Appl Crystallogr       Date:  2020-05-05       Impact factor: 3.304

Review 5.  Structural Analysis of Molecular Materials Using the Pair Distribution Function.

Authors:  Maxwell W Terban; Simon J L Billinge
Journal:  Chem Rev       Date:  2021-11-17       Impact factor: 60.622

6.  Multivariate analysis of disorder in metal-organic frameworks.

Authors:  Adam F Sapnik; Irene Bechis; Alice M Bumstead; Timothy Johnson; Philip A Chater; David A Keen; Kim E Jelfs; Thomas D Bennett
Journal:  Nat Commun       Date:  2022-04-21       Impact factor: 17.694

7.  Brownmillerite-Type Sr2ScGaO5 Oxide Ion Conductor: Local Structure, Phase Transition, and Dynamics.

Authors:  Chloe A Fuller; Quentin Berrod; Bernhard Frick; Mark R Johnson; Stewart J Clark; John S O Evans; Ivana Radosavljevic Evans
Journal:  Chem Mater       Date:  2019-08-06       Impact factor: 9.811

8.  Structure determination of organic compounds by a fit to the pair distribution function from scratch without prior indexing.

Authors:  Carina Schlesinger; Stefan Habermehl; Dragica Prill
Journal:  J Appl Crystallogr       Date:  2021-05-09       Impact factor: 3.304

9.  Local Crystal Structure of Antiferroelectric Bi2Mn4/3Ni2/3O6 in Commensurate and Incommensurate Phases Described by Pair Distribution Function (PDF) and Reverse Monte Carlo (RMC) Modeling.

Authors:  Robert J Szczecinski; Samantha Y Chong; Philip A Chater; Helen Hughes; Matthew G Tucker; John B Claridge; Matthew J Rosseinsky
Journal:  Chem Mater       Date:  2014-02-21       Impact factor: 9.811

10.  Representational analysis of extended disorder in atomistic ensembles derived from total scattering data.

Authors:  James R Neilson; Tyrel M McQueen
Journal:  J Appl Crystallogr       Date:  2015-09-20       Impact factor: 3.304

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