Literature DB >> 18198034

A variable selection procedure for X-ray diffraction phase analysis.

Daewon Lee1, Hyeseon Lee, Chi-Hyuck Jun, Chang Hwan Chang.   

Abstract

The X-ray diffraction method has been widely used for qualitative and quantitative phase abundance analysis of crystalline materials. We propose the use of partial least squares when building the calibration model for a quantitative phase analysis based on X-ray diffraction spectra. We also propose a variable selection procedure to reduce the measurement points in terms of angles as an alternative to using the whole pattern. The proposed method is based on the variable importance in projection derived from the partial least squares and it considers some practical issues regarding the angle measurement. The method was particularly applied to the simultaneous determination of weight fractions of some iron oxides. It was found that the number of measurement points can be reduced to 30 percent of the total number of points with a small sacrifice in prediction error.

Entities:  

Year:  2007        PMID: 18198034     DOI: 10.1366/000370207783292127

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  2 in total

1.  Classification of crystal structure using a convolutional neural network.

Authors:  Woon Bae Park; Jiyong Chung; Jaeyoung Jung; Keemin Sohn; Satendra Pal Singh; Myoungho Pyo; Namsoo Shin; Kee-Sun Sohn
Journal:  IUCrJ       Date:  2017-06-13       Impact factor: 4.769

2.  A deep-learning technique for phase identification in multiphase inorganic compounds using synthetic XRD powder patterns.

Authors:  Jin-Woong Lee; Woon Bae Park; Jin Hee Lee; Satendra Pal Singh; Kee-Sun Sohn
Journal:  Nat Commun       Date:  2020-01-03       Impact factor: 14.919

  2 in total

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