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Grain extraction and microstructural analysis method for two-dimensional poly and quasicrystalline solids
Indexado
WoS WOS:000447469400002
Scopus SCOPUS_ID:85059830602
DOI 10.1103/PHYSREVMATERIALS.2.103603
Año 2018
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



While the microscopic structure of defected solid crystalline materials has significant impact on their physical properties, efficient and accurate determination of a given polycrystalline microstructure remains a challenge. In this paper, we present a highly generalizable and reliable variational method to achieve this goal for two-dimensional crystalline and quasicrystalline materials. The method is benchmarked and optimized successfully using a variety of large-scale systems of defected solids, including periodic structures and quasicrystalline symmetries to quantify their microstructural characteristics, e.g., grain size and lattice misorientation distributions. We find that many microstructural properties show universal features independent of the underlying symmetries.

Revista



Revista ISSN
Physical Review Materials 2475-9953

Métricas Externas



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Disciplinas de Investigación



WOS
Materials Science, Multidisciplinary
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Hirvonen, Petri Hombre Aalto Univ - Finlandia
Aalto University - Finlandia
2 La Boissoniere, Gabriel Martine Hombre MCGILL UNIV - Canadá
McGill University - Canadá
Université McGill - Canadá
3 Fan, Zheyong - Aalto Univ - Finlandia
Aalto University - Finlandia
4 VASILE-ACHIM, CRISTIAN Hombre Universidad de Concepción - Chile
4 Vasile Achim, Cristian - Universidad de Concepción - Chile
5 Provatas, Nikolas Hombre MCGILL UNIV - Canadá
McGill University - Canadá
Université McGill - Canadá
6 Elder, Ken R. Hombre Oakland Univ - Estados Unidos
Oakland University - Estados Unidos
7 Ala-Nissila, Tapio Hombre Aalto Univ - Finlandia
Loughborough Univ Technol - Reino Unido
Aalto University - Finlandia
Loughborough University - Reino Unido

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Financiamiento



Fuente
National Science Foundation
Centro de Recursos Hídricos para la Agricultura y la Minería
CRHIAM
Academy of Finland
Fonds de recherche du Québec – Nature et technologies
Canada Research Chairs
Centro de Recursos Hídricos para la Agricultura y la Minería
CRC Health Group
Suomalainen Tiedeakatemia
Fonds de recherche du Québec – Nature et technologies
Canada Research Chairs (CRC) Program
FRQNT (Fonds de recherche du Quebec-Nature et technologies) Doctoral Student Scholarship
Aalto Science Institute (ASCI)
Foundation for Aalto University Science and Technology
Academy of Finland through its QTF Center of Excellence Program
Vilho, Yrjo and Kalle Vaisala Foundation of the Finnish Academy of Science and Letters
Foundation for Aalto University
Aalto Science Institute
Aalto-Yliopisto

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
This research has been supported in part by the Academy of Finland through its QTF Center of Excellence Program Grant No. 312298. We acknowledge the computational resources provided by the Aalto Science-IT project and the CSC IT Center for Science, Finland. P.H. acknowledges financial support from the Foundation for Aalto University Science and Technology, and from the Vilho, Yrjo and Kalle Vaisala Foundation of the Finnish Academy of Science and Letters. P.H. also wishes to thank Paul Jreidini and Matthew Frick for helpful discussions. G.M.L.B. was supported by an FRQNT (Fonds de recherche du Quebec-Nature et technologies) Doctoral Student Scholarship. C.V.A. acknowledges financial support from CRHIAM, CONICYT/FONDAP/15130015. N.P. acknowledges financial support from the Canada Research Chairs (CRC) Program. K.R.E. acknowledges financial support from the National Science Foundation under Grant No. DMR-1506634 and from the Aalto Science Institute (ASCI).
This research has been supported in part by the Academy of Finland through its QTF Center of Excellence Program Grant No. 312298. We acknowledge the computational resources provided by the Aalto Science-IT project and the CSC IT Center for Science, Finland. P.H. acknowledges financial support from the Foundation for Aalto University Science and Technology, and from the Vilho, Yrjö and Kalle Väisälä Foundation of the Finnish Academy of Science and Letters. P.H. also wishes to thank Paul Jreidini and Matthew Frick for helpful discussions. G.M.L.B. was supported by an FRQNT (Fonds de recherche du Québec - Nature et technologies) Doctoral Student Scholarship. C.V.A. acknowledges financial support from CRHIAM, CONICYT/FONDAP/15130015. N.P. acknowledges financial support from the Canada Research Chairs (CRC) Program. K.R.E. acknowledges financial support from the National Science Foundation under Grant No. DMR-1506634 and from the Aalto Science Institute (ASCI).

Muestra la fuente de financiamiento declarada en la publicación.