Development of an Automatic, High-Throughput Structural Refinement Method Using Rietveld Analysis

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2019-12-16 DOI:10.1021/acscombsci.9b00158
Akihisa Aimi*, Kenjiro Fujimoto
{"title":"Development of an Automatic, High-Throughput Structural Refinement Method Using Rietveld Analysis","authors":"Akihisa Aimi*,&nbsp;Kenjiro Fujimoto","doi":"10.1021/acscombsci.9b00158","DOIUrl":null,"url":null,"abstract":"<p >Automated structural analysis techniques are required to accelerate materials research. In this study, we developed an algorithm to automate Rietveld analysis, which is a method for crystal structure refinement using powder diffraction patterns. This algorithm features the repeated generation of a set of initial values, followed by one-shot refinement. Accurate results were obtained without any strategy for the sequence of refinement, as is often used in manual analysis. Implementation and testing of the automated algorithm provided fitting results that were comparable to those of manual analysis, even when inaccurate initial values for structural parameters were input. Moreover, the much shorter time was required for the developed automatic analysis method than for manual analysis. The developed method will likely facilitate the analysis of large amounts of diffraction data, allowing the accumulation of structural data that can enhance the efficacy of materials research.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2019-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1021/acscombsci.9b00158","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acscombsci.9b00158","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 8

Abstract

Automated structural analysis techniques are required to accelerate materials research. In this study, we developed an algorithm to automate Rietveld analysis, which is a method for crystal structure refinement using powder diffraction patterns. This algorithm features the repeated generation of a set of initial values, followed by one-shot refinement. Accurate results were obtained without any strategy for the sequence of refinement, as is often used in manual analysis. Implementation and testing of the automated algorithm provided fitting results that were comparable to those of manual analysis, even when inaccurate initial values for structural parameters were input. Moreover, the much shorter time was required for the developed automatic analysis method than for manual analysis. The developed method will likely facilitate the analysis of large amounts of diffraction data, allowing the accumulation of structural data that can enhance the efficacy of materials research.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
采用Rietveld分析的自动、高通量结构精化方法的发展
自动化结构分析技术是加速材料研究的需要。在这项研究中,我们开发了一种算法来自动化Rietveld分析,这是一种使用粉末衍射图来细化晶体结构的方法。该算法的特点是重复生成一组初始值,然后进行一次细化。准确的结果获得没有任何策略的细化顺序,因为通常在人工分析中使用。自动化算法的实现和测试提供了与人工分析相当的拟合结果,即使输入了不准确的结构参数初始值。此外,所开发的自动分析方法比人工分析所需的时间要短得多。所开发的方法可能有助于分析大量的衍射数据,从而积累可以提高材料研究效率的结构数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊最新文献
Hyperbaric oxygen treatment promotes tendon-bone interface healing in a rabbit model of rotator cuff tears. Oxygen-ozone therapy for myocardial ischemic stroke and cardiovascular disorders. Comparative study on the anti-inflammatory and protective effects of different oxygen therapy regimens on lipopolysaccharide-induced acute lung injury in mice. Heme oxygenase/carbon monoxide system and development of the heart. Hyperbaric oxygen for moderate-to-severe traumatic brain injury: outcomes 5-8 years after injury.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1