화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2018년 가을 (10/24 ~ 10/26, 대구 EXCO)
권호 24권 2호, p.1409
발표분야 분리기술(Separation Technology)
제목 Pair Distribution Function and Principal Component Analysis for Structural Discrepancy of Solid
초록 This present study aimed to interpret the structure discrepancy of solid using the Pair Distribution Function (PDF) and Principal Component Analysis (PCA). Generally, the Powder X-ray diffraction was the matured method to choose for structure analysis of solid. However, significant, and often sufficient, structure information of complex solid cannot be totally gleaned from the Powder X-ray diffraction this is clearly because the structure information of solid obtaining from powder diffraction was based on the Bragg scattering only. Recently, the Pair Distribution Function, a total diffraction approach, was developed to study the structure of solid. Additionally, Principal Component Analysis (PCA), a multivariate statistical method, can provide an efficient procedure for exploratory data treatment. Thus, PCA can be applied to efficiently evaluate and simplify larger volumes of complex PDF data, as a complementary step in better interpreting the existed discrepancy in the solid. In this study, the structure discrepancy of solid was investigated by a new approach using the Pair Distribution Function and Principal Component Analysis.
저자 HUA YONGBIAO1, 김우식2
소속 1경희대, 2Department of Chemical Engineering
키워드 결정화
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