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A. Morawiec
Researcher at Carnegie Mellon University
Publications - 8
Citations - 474
A. Morawiec is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Grain boundary & Misorientation. The author has an hindex of 6, co-authored 8 publications receiving 449 citations.
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Distribution of grain boundaries in magnesia as a function of five macroscopic parameters
TL;DR: In this paper, a semi-automated method has been used to measure all five macroscopically observable parameters of 4.1×10 6 boundary plane segments making up 5.4 mm 2 of boundary area in a hot-pressed magnesia polycrystal.
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Distribution and Energies of Grain Boundaries in Magnesia as a Function of Five Degrees of Freedom
TL;DR: In this article, the authors measured all five macroscopically observable degrees of freedom of 41 × 106 boundary plane segments making up 52 × 106μm2 of grain boundary interface area in a magnesia polycrystal and demonstrated that not all grain boundary configurations occur with the same frequency and that the relative free energies of the different interfacial configurations influence the population distribution.
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Method to calculate the grain boundary energy distribution over the space of macroscopic boundary parameters from the geometry of triple junctions
TL;DR: In this article, a numerical method for reconstructing the grain boundary energy distribution over the complete space of macroscopic boundary parameters is presented, based on the analysis of the dihedral angles between homophase grain boundaries of polycrystalline triple junctions.
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Misorientation Dependence of the Grain Boundary Energy in Magnesia
TL;DR: In this article, a finite series of symmetrized spherical harmonics has been used to approximate the misorientation dependence of the relative grain boundary energy, and best fit coefficients for this series were determined by assuming that the interfacial tensions at each triple junction are balanced.
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Mapping the mesoscale interface structure in polycrystalline materials.
TL;DR: A new experimental approach to the quantitative characterization of polycrystalline microstructure by scanning electron microscopy by combining automated electron backscattering diffraction with conventional scanning contrast imaging and with calibrated serial sectioning, which recovers precision estimates of the 3D idealized aggregate function G(x).