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      Domain Auto Finder ( DAFi) program: the analysis of single-crystal X-ray diffraction data from polycrystalline samples

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          Abstract

          This paper presents the Domain Auto Finder ( DAFi) program and its application to the analysis of single-crystal X-ray diffraction (SC-XRD) data from multiphase mixtures of microcrystalline solids and powders. The DAFi algorithm is designed to quickly find subsets of reflections from individual domains in a whole set of SC-XRD data and neither requires a priori crystallographic information nor is limited by the number of phases or individual domains.

          Abstract

          This paper presents the Domain Auto Finder ( DAFi) program and its application to the analysis of single-crystal X-ray diffraction (SC-XRD) data from multiphase mixtures of microcrystalline solids and powders. Superposition of numerous reflections originating from a large number of single-crystal domains of the same and/or different (especially unknown) phases usually precludes the sorting of reflections coming from individual domains, making their automatic indexing impossible. The DAFi algorithm is designed to quickly find subsets of reflections from individual domains in a whole set of SC-XRD data. Further indexing of all found subsets can be easily performed using widely accessible crystallographic packages. As the algorithm neither requires a priori crystallographic information nor is limited by the number of phases or individual domains, DAFi is powerful software to be used for studies of multiphase polycrystalline and microcrystalline (powder) materials. The algorithm is validated by testing on X-ray diffraction data sets obtained from real samples: a multi-mineral basalt rock at ambient conditions and products of the chemical reaction of yttrium and nitro­gen in a laser-heated diamond anvil cell at 50 GPa. The high performance of the DAFi algorithm means it can be used for processing SC-XRD data online during experiments at synchrotron facilities.

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          Author and article information

          Contributors
          Role: Editor
          Journal
          J Appl Crystallogr
          J Appl Crystallogr
          J. Appl. Cryst.
          Journal of Applied Crystallography
          International Union of Crystallography
          0021-8898
          1600-5767
          01 October 2022
          28 September 2022
          28 September 2022
          : 55
          : Pt 5 ( publisher-idID: j220500 )
          : 1383-1391
          Affiliations
          [a ]Material Physics and Technology at Extreme Conditions, Laboratory of Crystallography, University of Bayreuth , Universitaetsstrasse 30, Bayreuth, D-95440, Germany
          [b ]Bayerisches Geoinstitut, University of Bayreuth , Bayreuth, D-95440, Germany
          [c ] Kharkiv National University of Radio Electronics , Nauky Avenue 14, Kharkiv, 61166, Ukraine
          [d ]Department of Physics, Chemistry and Biology (IFM), Linkoping University , Linköping, SE 581 83, Sweden
          HPSTAR and Harbin Institute of Technology, People’s Republic of China
          Author notes
          Author information
          https://orcid.org/0000-0003-0988-6066
          https://orcid.org/0000-0002-8256-5675
          https://orcid.org/0000-0002-3717-7585
          Article
          iu5028 JACGAR S1600576722008081
          10.1107/S1600576722008081
          9533752
          36249501
          a8e76f46-7309-42ef-aa93-ddd1bc69c598
          © Andrey Aslandukov et al. 2022

          This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.

          History
          : 01 February 2022
          : 12 August 2022
          Page count
          Pages: 9
          Funding
          Funded by: Bundesministerium für Bildung und Forschung
          Award ID: 05K19WC1
          Funded by: Deutsche Forschungsgemeinschaft
          Award ID: DU 954-11/1
          Award ID: DU 393-9/2
          Award ID: DU 393-13/1
          ND and LD thank the Federal Ministry of Education and Research, Germany (BMBF, grant No. 05K19WC1), and the Deutsche Forschungsgemeinschaft (DFG projects DU 954-11/1, DU 393-9/2, DU 393-13/1) for financial support. ND also thanks the Swedish Government Strategic Research Area in Materials Science on Functional Materials at Linköping University (Faculty Grant SFO-Mat-LiU No. 2009 00971).
          Categories
          Computer Programs

          Analytical chemistry
          single-crystal domain auto finder,dafi,single-crystal x-ray diffraction,polycrystalline samples,multiphase mixtures

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