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Title: Grain boundary plane orientation fundamental zones and structure-property relationships

Journal Article · · Scientific Reports
DOI:https://doi.org/10.1038/srep15476· OSTI ID:1239273
 [1];  [2];  [1]
  1. Brigham Young Univ., Provo, UT (United States)
  2. North Carolina State Univ., Raleigh, NC (United States)

Grain boundary plane orientation is a profoundly important determinant of character in polycrystalline materials that is not well understood. This work demonstrates how boundary plane orientation fundamental zones, which capture the natural crystallographic symmetries of a grain boundary, can be used to establish structure-property relationships. Using the fundamental zone representation, trends in computed energy, excess volume at the grain boundary, and temperature-dependent mobility naturally emerge and show a strong dependence on the boundary plane orientation. Analysis of common misorientation axes even suggests broader trends of grain boundary energy as a function of misorientation angle and plane orientation. Due to the strong structure-property relationships that naturally emerge from this work, boundary plane fundamental zones are expected to simplify analysis of both computational and experimental data. This standardized representation has the potential to significantly accelerate research in the topologically complex and vast five-dimensional phase space of grain boundaries.

Research Organization:
Brigham Young University, Provo, UT (United States). Dept. of Mechanical Engineering
Sponsoring Organization:
USDOE
Grant/Contract Number:
SC0012587
OSTI ID:
1239273
Journal Information:
Scientific Reports, Vol. 5; ISSN 2045-2322
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 60 works
Citation information provided by
Web of Science

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Cited By (12)

The structure and composition of olivine grain boundaries: 40 years of studies, status and current developments journal January 2018
Atomistic simulations of grain boundary energies in austenitic steel journal January 2019
Interplay Between Grain Boundaries and Radiation Damage journal March 2019
Discovering the building blocks of atomic systems using machine learning: application to grain boundaries journal August 2017
A machine learning approach to model solute grain boundary segregation journal November 2018
Improve sensitization and corrosion resistance of an Al-Mg alloy by optimization of grain boundaries journal May 2016
Shear-coupled grain-boundary migration dependence on normal strain/stress journal August 2017
Colossal grain growth yields single-crystal metal foils by contact-free annealing journal October 2018
Discovering the building blocks of atomic systems using machine learning: Application to grain boundaries text January 2017
A machine learning approach to model solute grain boundary segregation collection January 2018
Grain Boundary Specific Segregation in Nanocrystalline Fe(Cr) journal October 2016
Point-Pattern Matching Technique for Local Structural Analysis in Condensed Matter preprint January 2018

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