FullProf
Rodríguez-Carvajal, J. (1993). Recent advances in magnetic structure determination by neutron powder diffraction. Physica B: Condensed Matter, 192(1-2), 55-69. https://doi.org/10.1016/0921-4526(93)90108-I
Rodríguez-Carvajal, J., González-Platas, J., Katcho, N.A. (2025). Magnetic structure determination and refinement using FullProf. Acta Cryst B: Structural Science, 3, 302-317. https://doi.org/10.1107/S2052520625003944
WinPLOTR
Roisnel, T., Rodríguez-Carvajal, J. (2000). WinPLOTR: a Windows tool for powder diffraction patterns analysis. Materials Science Forum, Proceedings of the Seventh European Powder Diffraction Conference (EPDIC 7), 118-123. https://doi.org/10.4028/www.scientific.net/MSF.378-381.118
FullProfApp
Arcelus, O., Rodríguez-Carvajal, J. et al. (2024). FullProfApp: a graphical user interface for the streamlined automation of powder diffraction data analysis. Journal of Applied Crystallography, 57, 1676-1690. https://doi.org/10.1107/S1600576724006885
iPowder
The program iPowder is a Python interface to FullProf, simpler than FullProfAPP, which has been developed in China by the team leaded by Zhenjie Feng (fengzj@szlab.ac.cn), containing search-match, indexing and elementary Rietveld refinements using FullProf as refinement engine. It works only for X-ray diffraction providing a very simple access to manual and automatic Rietveld refinement very convenient for beginners. For downloading, it requires to provide some information about the user e-mail and institution. Those using the program may cite the following publication containin a description using LabView. The current version uses Python and PySide6.
Shihui Chang, Binfeng Lv, Wanting Yang, Cheng Dong, Nebil A. Katcho, Shixun Cao, Jincang Zhang, Juan Rodriguez-Carvajal and Zhenjie Feng. (2025). iPowder: advanced software for automated highthroughput X-ray diffraction analysis. Journal of Applied Crystallography, 58, 296-301. https://doi.org/10.1107/S1600576724012160
DicVol
Boultif, A., Louër, D. (2004). Powder pattern indexing with the dichotomy method. Journal of Applied Crystallography, 37, 724-731. https://doi.org/10.1107/S0021889804014876
BondStr
Katcho, N. A., Rodríguez-Carvajal, J. et al. (2019). An investigation of the structural properties of Li and Na fast ion conductors using high-throughput bond-valence calculations and machine learning. Journal of Applied Crystallography, 52, 148-157. https://doi.org/10.1107/S1600576718018484