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Designing anisotropic microstructures with spectral density function

delete2020-06-01
delete29
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OA
AI
A
Akshay Iyer
Y
Yichi Zhang
U
Umar Farooq Ghumman
T
TeYu Chien
G
Ganesh Balasubramanian
陈伟 cover
陈伟 (Wei Chen) *
DOI:10.1016/j.commatsci.2020.109559delete
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Abstract

Abstract

En 中文
Materials' microstructure is a critical aspect in design of functional materials as it links processing conditions to material performance. Previous efforts on microstructure mediated design mostly assume isotropy, which is not ideal for applications where material properties along specific directions must be tailored to meet performance requirements, such as those associated with transport phenomena. In this article, we propose an anisotropic micro-structure design strategy that leverages Spectral Density Function (SDF) for rapid reconstruction of high resolution, two phase, isotropic or anisotropic microstructures in 2D and 3D. We demonstrate that SDF micro-structure representation provides an intuitive method for quantifying anisotropy through a dimensionless scalar variable termed anisotropy index. The computational efficiency and low dimensional microstructure representation enabled by our method is demonstrated through an active layer design case study for Bulk Heterojunction Organic Photovoltaic Cells (OPVCs). Results indicate that optimized design, exhibiting strong anisotropy, outperforms isotropic active layer designs.
Keywords:
Anisotropic microstructure
Spectral density function
Microstructure reconstruction
Materials design
Organic photovoltaic cells
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Computational Materials Science cover
Computational Materials Science
IF:
3.3
Papers:
1.4W
Citations:
3.6W

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U
university of wyoming
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Papers: 5.9K
Citations: 8
L
Lehigh University
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Citations: 6.3K
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Northwestern University
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Papers: 5.3W
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