Automatic Rietveld refinement by robotic process automation with RIETAN-FP. Issue 1 (31st December 2022)
- Record Type:
- Journal Article
- Title:
- Automatic Rietveld refinement by robotic process automation with RIETAN-FP. Issue 1 (31st December 2022)
- Main Title:
- Automatic Rietveld refinement by robotic process automation with RIETAN-FP
- Authors:
- Tamura, Ryo
Sumita, Masato
Terayama, Kei
Tsuda, Koji
Izumi, Fujio
Matsushita, Yoshitaka - Abstract:
- 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 w p value. Additionally, we evaluated the programs for analyzing X-ray powder diffraction patterns of anatase TiO2, Ca5 (PO4 )3 F, 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. Graphical abstract: uf0001
- Is Part Of:
- Science and Technology of Advanced Materials: Methods. Volume 2:Issue 1(2022)
- Journal:
- Science and Technology of Advanced Materials: Methods
- Issue:
- Volume 2:Issue 1(2022)
- Issue Display:
- Volume 2, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 2
- Issue:
- 1
- Issue Sort Value:
- 2022-0002-0001-0000
- Page Start:
- 435
- Page End:
- 444
- Publication Date:
- 2022-12-31
- Subjects:
- Rietveld analysis -- robotic process automation -- machine learning -- RIETAN-FP
- DOI:
- 10.1080/27660400.2022.2146470 ↗
- Languages:
- English
- ISSNs:
- 2766-0400
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library HMNTS - ELD Digital store
- Ingest File:
- 24781.xml