Automatic determination of crystal space groups based on the real space method

IF 5.5 2区 材料科学 Q1 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Materials Characterization Pub Date : 2025-02-01 DOI:10.1016/j.matchar.2024.114663
Rui Li , Chuanlong Yang , Mengtian Liang , Yongjin Chen , Huaqing Yi , Jinpeng Zhang , Yi Yang
{"title":"Automatic determination of crystal space groups based on the real space method","authors":"Rui Li ,&nbsp;Chuanlong Yang ,&nbsp;Mengtian Liang ,&nbsp;Yongjin Chen ,&nbsp;Huaqing Yi ,&nbsp;Jinpeng Zhang ,&nbsp;Yi Yang","doi":"10.1016/j.matchar.2024.114663","DOIUrl":null,"url":null,"abstract":"<div><div>A novel program for space group determination based on the real space method which is simple, exact, and enables more space groups to be distinguished is presented. The program employs model-based estimation, which enables the analysis of a vast field of HAADF images to obtain atomic positions and amplitudes with remarkable precision. It applies the Niggli reduced cell method to determine lattice parameters, calculates the two-dimensional (2D) space group using the information derived from lattice parameters, atomic positions and amplitudes, and then to uniquely identify a three-dimensional (3D) space group by this information. This article presents several instances of 2D plane group identification and a number of examples of space group determination based on both simulated and experimental HAADF images. AutoSGD, a user-friendly program, has been developed to facilitate the space group determination for researchers.</div></div>","PeriodicalId":18727,"journal":{"name":"Materials Characterization","volume":"220 ","pages":"Article 114663"},"PeriodicalIF":5.5000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Characterization","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1044580324010441","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
引用次数: 0

Abstract

A novel program for space group determination based on the real space method which is simple, exact, and enables more space groups to be distinguished is presented. The program employs model-based estimation, which enables the analysis of a vast field of HAADF images to obtain atomic positions and amplitudes with remarkable precision. It applies the Niggli reduced cell method to determine lattice parameters, calculates the two-dimensional (2D) space group using the information derived from lattice parameters, atomic positions and amplitudes, and then to uniquely identify a three-dimensional (3D) space group by this information. This article presents several instances of 2D plane group identification and a number of examples of space group determination based on both simulated and experimental HAADF images. AutoSGD, a user-friendly program, has been developed to facilitate the space group determination for researchers.
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
基于实空间法的晶体空间群自动确定
提出了一种新的基于实空间法的空间群确定方案,该方案简单、准确,并且能够区分更多的空间群。该程序采用基于模型的估计,可以分析大量HAADF图像,以显着的精度获得原子位置和振幅。采用Niggli约简单元法确定晶格参数,利用晶格参数、原子位置和振幅的信息计算二维空间群,并通过该信息唯一识别三维空间群。本文给出了几个基于模拟和实验HAADF图像的二维平面群识别实例和一些空间群确定实例。AutoSGD,一个用户友好的程序,已开发,以方便空间组的确定研究人员。
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
Materials Characterization
Materials Characterization 工程技术-材料科学:表征与测试
CiteScore
7.60
自引率
8.50%
发文量
746
审稿时长
36 days
期刊介绍: Materials Characterization features original articles and state-of-the-art reviews on theoretical and practical aspects of the structure and behaviour of materials. The Journal focuses on all characterization techniques, including all forms of microscopy (light, electron, acoustic, etc.,) and analysis (especially microanalysis and surface analytical techniques). Developments in both this wide range of techniques and their application to the quantification of the microstructure of materials are essential facets of the Journal. The Journal provides the Materials Scientist/Engineer with up-to-date information on many types of materials with an underlying theme of explaining the behavior of materials using novel approaches. Materials covered by the journal include: Metals & Alloys Ceramics Nanomaterials Biomedical materials Optical materials Composites Natural Materials.
期刊最新文献
Microstructural evolution and aging precipitation behavior of nuclear-grade N-strengthened austenitic stainless steel Isotropic high strength Al-Mg-Si-Zn-Cu alloy fabricated by wire-arc additive manufacturing via Ti nanoparticles addition Instance segmentation and microstructure characterization based on powder microscopic image data Effect of intergranular boron segregation on cross-tension strength in medium-Mn TRIP and dual-phase steel dissimilar resistance spot welds Intelligent strength prediction in structural ceramics enabled by statistical descriptors of inherent pores
×
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:604180095
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