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Automatic Rietveld refinement by robotic process automation with RIETAN-FP

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posted on 2022-11-12, 07:20 authored by Ryo Tamura, Masato Sumita, Kei Terayama, Koji Tsuda, Fujio Izumi, Yoshitaka Matsushita

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 Rwp 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.

Funding

This study was supported by a project subsidized by the Core Research for Evolutional Science and Technology (CREST) (Grant Numbers JPMJCR17J2) and KAKENHI 19H05819 from the Japan Science and Technology Agency (JST).

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