The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
PDF-5+: a comprehensive Powder Diffraction File™ for materials characterization
Open accessAbstract
For more than 80 years, the scientific community has extensively used International Centre for Diffraction Data's (ICDD®) Powder Diffraction File (PDF®) for material characterization, including powder X-ray diffraction analysis. Historically, PDF was made available for two major material types: one for inorganic analysis and the other for organic analysis. In the early years of the PDF, this two-material approach was implemented due to limited computer capabilities. With Release 2024, ICDD provides a comprehensive database consisting of the entire PDF in one database called PDF-5+, comprised of more than one million entries (1,061,898). The PDF-5+ with a relational database (RDB) construct houses extensive chemical, physical, bibliographic, and crystallographic data, including atomic coordinates and raw data, enabling qualitative and quantitative phase analysis. This wealth of information in one database is advantageous for phase identification, materials characterization, and several data mining applications in materials science. A database of this size needs rigorous data curation and structural and chemical classifications to optimize pattern search/match and characterization methods. Each entry in the PDF has an editorially assigned quality mark. An editorial comment will describe the reason if an entry does not meet the top-quality mark. The editorial processes of ICDD's quality management system are unique in that they are ISO 9001:2015 certified. Among several classifications implemented in PDF-5+, subfiles (such as Bioactive, Pharmaceuticals, Minerals, etc.) directly impact the search/match in minimizing false positives. Scientists with specific field expertise continuously review these subfiles to maintain their quality. This paper describes the features of PDF with an emphasis on the newly released PDF-5+.
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Cites
The FAIR Guiding Principles for scientific data management and stewardship
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“One of the profound bene fi ts of RDB is the more straightforward implementation of FAIR (Findability, Accessibility, Interoperability, and Reusability) principles (Wilkinson et al., 2016) and better data interoperability.”
The Cambridge Structural Database
Groom, C. R., Bruno, I. J., Lightfoot, M. P., & Ward, S. C. (2016) · Acta Crystallographica Section B Structural Science, Crystal Engineering and Materials · doi:10.1107/s2052520616003954 · Cited by 10,297
Applied Topological Analysis of Crystal Structures with the Program Package ToposPro
Blatov, V. A., Shevchenko, A. P., & Proserpio, D. M. (2014) · Crystal Growth & Design · doi:10.1021/cg500498k · Cited by 3,167
Atlas of Zeolite Framework Types
(2007) · Elsevier eBooks · doi:10.1016/b978-0-444-53064-6.x5186-x · Cited by 2,493
STRUCTURE TIDY– a computer program to standardize crystal structure data
Gelato, L. M., & Parthé, E. (1987) · Journal of Applied Crystallography · doi:10.1107/s0021889887086965 · Cited by 1,346
The Powder Diffraction File: a quality materials characterization database
Gates-Rector, S., & Blanton, T. (2019) · Powder Diffraction · doi:10.1017/s0885715619000812 · Cited by 1,308
Self-citationA new law of crystal morphology extending the law of Bravais
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RIR - Measurement and Use in Quantitative XRD
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Cited by
Extraction of Aluminum from Lunar Regolith through Molten Salt Electrolysis
Ortega, J. N., Sander, T. P., Smith, J. D., Rezaei, F., Bayless, D. J., Schonberg, W., Stutts, D. S., & Han, F. D. (2025) · Acta Astronautica · doi:10.1016/j.actaastro.2025.04.064 · Cited by 13
Metadata
- Authors
- Kabekkodu, S. N., Dosen, A., & Blanton, T. N.
- Venue
- Powder Diffraction
- Publisher
- Cambridge University Press (CUP)
- Published
- 2024-04-15
- Volume
- 39
- Issue
- 2
- Pages
- 47-59
- ISSN
- 0885-7156 (ISSN-L)
- 1945-7413
- OpenAlex
- W4394814180
- Cited by
- 281
- References
- 17
- FWCI
- 26.68
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.