Back to Search Start Over

Automatic Rietveld refinement by robotic process automation with RIETAN-FP

Authors :
Ryo Tamura
Masato Sumita
Kei Terayama
Koji Tsuda
Fujio Izumi
Yoshitaka Matsushita
Source :
Science and Technology of Advanced Materials: Methods, Vol 2, Iss 1, Pp 435-444 (2022)
Publication Year :
2022
Publisher :
Taylor & Francis Group, 2022.

Abstract

Rietveld analysis necessitates the manual trial-and-error refinement of various parameters. To reduce human costs and resources, we have developed a robotic process automation (RPA) system for the Rietveld analysis program RIETAN-FP. By executing our proposed RPA programs, the background parameters of intensities can be determined, and black-box optimizations used to automatically search for peak profile parameters with a small $${R_{{\rm{wp}}}}$$ value. Additionally, we evaluated the programs for analyzing X-ray powder diffraction patterns of anatase TiO2, Ca5(PO4)3F, and BaSO4. Consequently, it was verified that RPA can be utilized to automate Rietveld analysis in simple cases. This indicates that RPA can be used for conducting black-box optimizations for graphical user interface (GUI) applications in materials science.

Details

Language :
English
ISSN :
27660400 and 67894151
Volume :
2
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Science and Technology of Advanced Materials: Methods
Publication Type :
Academic Journal
Accession number :
edsdoj.51a0370c6789415196046c7ea8427cc0
Document Type :
article
Full Text :
https://doi.org/10.1080/27660400.2022.2146470