A statistical learning approach for the design of polycrystalline materials

@article{Sundararaghavan2009ASL,
  title={A statistical learning approach for the design of polycrystalline materials},
  author={Veera Sundararaghavan and Nicholas Zabaras},
  journal={Statistical Analysis and Data Mining},
  year={2009},
  volume={1},
  pages={306-321}
}
Important physical properties such as yield strength, elastic modulus, and thermal conductivity depend on the material microstructure. Realization of optimal microstructures is important for hardware components in aerospace applications where there is a need to optimize material properties for improved performance. Microstructures can be tailored through controlled deformation or heat treatment. However, identification of the optimal processing path is a non-trivial (and nonunique) problem… CONTINUE READING
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An information theoretic approach for obtaining property PDFs from macro specifications of microstructural uncertainty

N. Zabaras, V. Sundararaghavan, S. Sankaran
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