Comparison of microstructure characterization methods by two-point correlation functions and reconstruction of 3D microstructures using 2D TEM images with high degree of phase clustering

Se Yun Kim; Ji Su Kim; Jae Hun Lee; Jong Hak Kim; Tong Seok Han

doi:10.1016/j.matchar.2021.110876

Comparison of microstructure characterization methods by two-point correlation functions and reconstruction of 3D microstructures using 2D TEM images with high degree of phase clustering

Se Yun Kim, Ji Su Kim, Jae Hun Lee, Jong Hak Kim, Tong Seok Han

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

Microstructural characterization methods and their performance in virtual microstructure reconstruction were investigated using two-phase Pebax/PBE membranes. In this study, the microstructural characteristics of two-phase Pebax/PBE membranes with random phase distribution were obtained from two-dimensional (2D) transmission electron microscopy (TEM) images to reconstruct three-dimensional (3D) virtual microstructures. The microstructural characteristics of the 2D TEM images with different volume fractions were expressed using a two-point correlation function (P₂) and cooccurrence correlation functions (CCFs), and the results were compared. Virtual 3D microstructures were reconstructed through a stochastic optimization process using CCFs obtained from 2D TEM images of the membranes. This study further investigated and evaluated the effects of phase clustering on probabilistic functions, namely, P₂ and CCFs. It is confirmed that CCFs accurately represent the characteristics of microstructures with a high degree of phase clustering and that virtual 3D samples can be effectively reconstructed using CCFs obtained from 2D images.

Original language	English
Article number	110876
Journal	Materials Characterization
Volume	172
DOIs	https://doi.org/10.1016/j.matchar.2021.110876
Publication status	Published - 2021 Feb

Bibliographical note

Funding Information:
This study was supported by grants from the National Research Foundation of Korea ( NRF-2019R1A2C2086314 ) and Korea Energy Technology Evaluation and Planning ( 20174030201480 ).

Funding Information:
This study was supported by grants from the National Research Foundation of Korea (NRF-2019R1A2C2086314) and Korea Energy Technology Evaluation and Planning (20174030201480).

Publisher Copyright:
© 2021 Elsevier Inc.

All Science Journal Classification (ASJC) codes

Materials Science(all)
Condensed Matter Physics
Mechanics of Materials
Mechanical Engineering

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10.1016/j.matchar.2021.110876

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title = "Comparison of microstructure characterization methods by two-point correlation functions and reconstruction of 3D microstructures using 2D TEM images with high degree of phase clustering",

abstract = "Microstructural characterization methods and their performance in virtual microstructure reconstruction were investigated using two-phase Pebax/PBE membranes. In this study, the microstructural characteristics of two-phase Pebax/PBE membranes with random phase distribution were obtained from two-dimensional (2D) transmission electron microscopy (TEM) images to reconstruct three-dimensional (3D) virtual microstructures. The microstructural characteristics of the 2D TEM images with different volume fractions were expressed using a two-point correlation function (P2) and cooccurrence correlation functions (CCFs), and the results were compared. Virtual 3D microstructures were reconstructed through a stochastic optimization process using CCFs obtained from 2D TEM images of the membranes. This study further investigated and evaluated the effects of phase clustering on probabilistic functions, namely, P2 and CCFs. It is confirmed that CCFs accurately represent the characteristics of microstructures with a high degree of phase clustering and that virtual 3D samples can be effectively reconstructed using CCFs obtained from 2D images.",

author = "Kim, {Se Yun} and Kim, {Ji Su} and Lee, {Jae Hun} and Kim, {Jong Hak} and Han, {Tong Seok}",

note = "Funding Information: This study was supported by grants from the National Research Foundation of Korea ( NRF-2019R1A2C2086314 ) and Korea Energy Technology Evaluation and Planning ( 20174030201480 ). Funding Information: This study was supported by grants from the National Research Foundation of Korea (NRF-2019R1A2C2086314) and Korea Energy Technology Evaluation and Planning (20174030201480). Publisher Copyright: {\textcopyright} 2021 Elsevier Inc.",

year = "2021",

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doi = "10.1016/j.matchar.2021.110876",

language = "English",

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AU - Kim, Se Yun

AU - Kim, Ji Su

AU - Lee, Jae Hun

AU - Kim, Jong Hak

AU - Han, Tong Seok

N1 - Funding Information: This study was supported by grants from the National Research Foundation of Korea ( NRF-2019R1A2C2086314 ) and Korea Energy Technology Evaluation and Planning ( 20174030201480 ). Funding Information: This study was supported by grants from the National Research Foundation of Korea (NRF-2019R1A2C2086314) and Korea Energy Technology Evaluation and Planning (20174030201480). Publisher Copyright: © 2021 Elsevier Inc.

PY - 2021/2

Y1 - 2021/2

N2 - Microstructural characterization methods and their performance in virtual microstructure reconstruction were investigated using two-phase Pebax/PBE membranes. In this study, the microstructural characteristics of two-phase Pebax/PBE membranes with random phase distribution were obtained from two-dimensional (2D) transmission electron microscopy (TEM) images to reconstruct three-dimensional (3D) virtual microstructures. The microstructural characteristics of the 2D TEM images with different volume fractions were expressed using a two-point correlation function (P2) and cooccurrence correlation functions (CCFs), and the results were compared. Virtual 3D microstructures were reconstructed through a stochastic optimization process using CCFs obtained from 2D TEM images of the membranes. This study further investigated and evaluated the effects of phase clustering on probabilistic functions, namely, P2 and CCFs. It is confirmed that CCFs accurately represent the characteristics of microstructures with a high degree of phase clustering and that virtual 3D samples can be effectively reconstructed using CCFs obtained from 2D images.

AB - Microstructural characterization methods and their performance in virtual microstructure reconstruction were investigated using two-phase Pebax/PBE membranes. In this study, the microstructural characteristics of two-phase Pebax/PBE membranes with random phase distribution were obtained from two-dimensional (2D) transmission electron microscopy (TEM) images to reconstruct three-dimensional (3D) virtual microstructures. The microstructural characteristics of the 2D TEM images with different volume fractions were expressed using a two-point correlation function (P2) and cooccurrence correlation functions (CCFs), and the results were compared. Virtual 3D microstructures were reconstructed through a stochastic optimization process using CCFs obtained from 2D TEM images of the membranes. This study further investigated and evaluated the effects of phase clustering on probabilistic functions, namely, P2 and CCFs. It is confirmed that CCFs accurately represent the characteristics of microstructures with a high degree of phase clustering and that virtual 3D samples can be effectively reconstructed using CCFs obtained from 2D images.

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Comparison of microstructure characterization methods by two-point correlation functions and reconstruction of 3D microstructures using 2D TEM images with high degree of phase clustering

Abstract

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