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XRDlicious: an interactive web-based platform for online calculation of diffraction patterns and radial distribution
Miroslav Lebeda1,2,3, Jan Drahokoupil1,3, Petr Veřtát3
1Faculty of Mechanical Engineering Czech Technical University in Prague Technická 4 Prague 6 16607 Czechia.
XRDlicious is a free online tool for calculating diffraction patterns and radial distribution functions from crystal structures. It offers a user-friendly interface, supports multiple file formats, and is accessible on all devices, aiding research and education.
Area of Science:
- Crystallography
- Materials Science
- Computational Chemistry
Background:
- Accurate calculation of diffraction patterns and radial distribution functions is crucial for materials characterization.
- Existing tools often require software installation and lack cross-platform compatibility.
Purpose of the Study:
- To introduce XRDlicious, a novel, web-based computational tool.
- To provide an accessible platform for calculating powder X-ray diffraction and neutron diffraction patterns and partial/total radial distribution functions.
Main Methods:
- Developed a browser-based interface supporting CIF, POSCAR, XYZ, and LMP formats.
- Integrated direct data retrieval from Crystallography Open Database, Materials Project, and Automatic FLOW.
- Enabled structure modification and export, alongside experimental data conversion capabilities.
Main Results:
- XRDlicious calculates powder X-ray diffraction and neutron diffraction patterns (diffractograms) and partial and total radial distribution functions [(P)RDFs].
- The tool supports multiple structural file formats and direct database retrieval.
- Facilitates conversion of experimental diffraction data and simultaneous plotting of multiple structures.
Conclusions:
- XRDlicious offers a user-friendly, accessible solution for diffraction data analysis and structure visualization.
- Its versatility makes it suitable for both advanced research and educational purposes.
- Eliminates software installation barriers, promoting wider adoption across devices and operating systems.
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