Automated method for varying the order in which parameters are refined in powder diffraction
| Autor: | Huiran Zhang, Pin Wu, Zhenjie Feng, Wenfeng Shen, Min Cao, Yonghua Zhu, Wang-Peng Zhan, Qing Li, Hong-Hao Gao, Guang-Tai Ding |
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| Rok vydání: | 2015 |
| Předmět: |
General Computer Science
Computer science business.industry General Physics and Astronomy Experimental data Word error rate General Chemistry R-value (insulation) Computational Mathematics Software Mechanics of Materials Search algorithm Python language General Materials Science business Algorithm Powder diffraction Automated method |
| Zdroj: | Computational Materials Science. 107:210-215 |
| ISSN: | 0927-0256 |
| DOI: | 10.1016/j.commatsci.2015.06.001 |
| Popis: | This paper proposes an automated method for crystal structure refinement in powder diffraction to solve some outstanding issues including a great number of manual interventions, time-consuming and low efficiency caused by manual refinement of refinement software. The automated method is based on crystal parameters sorting space, black-box model and Fullprof software. The automated method can get the best refinement result in all kinds of order of crystal parameters refinement by “optimal R wp (the weighted profile R factor) search algorithm”. Meanwhile, an automated auxiliary system has been developed by the Python language to implement the application of the automated method to experimental data. The experimental results show that the automated method is feasible, which can save time and reduce the error rate caused by a lot of repeated manual refinement experiments, and improve the refinement efficiency. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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