• Corpus ID: 203593624

Modeling and Reconstructing Complex Heterogeneous Materials From Lower-Order Spatial Correlation Functions Encoding Topological and Interface Statistics

@article{Jiao2019ModelingAR,
  title={Modeling and Reconstructing Complex Heterogeneous Materials From Lower-Order Spatial Correlation Functions Encoding Topological and Interface Statistics},
  author={Yang Jiao},
  journal={arXiv: Materials Science},
  year={2019}
}
  • Yang Jiao
  • Published 29 September 2019
  • Materials Science
  • arXiv: Materials Science
The versatile physical properties of heterogeneous materials are intimately related to their complex microstructures, which can be statistically characterized and modelled using various spatial correlation functions containing key structural features of the material's phases. An important related problem is to inversely reconstruct the material microstructure from limited morphological information contained in the correlation functions. Here, we present in details a generalized lattice-point… 

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