Materials structure genealogy and high-throughput topological classification of surfaces and 2D materials

Research output: Contribution to journalArticleScientificpeer-review

Standard

Materials structure genealogy and high-throughput topological classification of surfaces and 2D materials. / Himanen, Lauri; Rinke, Patrick; Foster, Adam Stuart.

In: npj Computational Materials, Vol. 4, No. 1, 52, 01.12.2018, p. 1-10.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

APA

Vancouver

Author

Bibtex - Download

@article{b04fb1912c0a474b85a2dd0b6c75400e,
title = "Materials structure genealogy and high-throughput topological classification of surfaces and 2D materials",
abstract = "Automated and verifiable structural classification for atomistic structures is becoming necessary to cope with the vast amount of information stored in various computational materials databases. Here we present a general recursive scheme for the structural classification of atomistic systems and introduce a structural materials map that can be used to organize the materials structure genealogy. We also introduce our implementation for the automatic classification of two-dimensional structures, especially focusing on surfaces and 2D materials. This classification procedure can automatically determine the dimensionality of a structure, further categorize the structure as a surface or a 2D material, return the underlying unit cell and also identify the outlier atoms, such as adsorbates. The classification scheme does not require explicit search patterns and works even in the presence of defects and dislocations. The classification is tested on a wide variety of atomistic structures and provides a high-accuracy determination for all of the returned structural properties. A software implementation of the classification algorithm is freely available with an open-source license.",
author = "Lauri Himanen and Patrick Rinke and Foster, {Adam Stuart}",
note = "| openaire: EC/H2020/676580/EU//NoMaD",
year = "2018",
month = "12",
day = "1",
doi = "10.1038/s41524-018-0107-6",
language = "English",
volume = "4",
pages = "1--10",
journal = "npj Computational Materials",
issn = "2057-3960",
publisher = "Nature Publishing Group",
number = "1",

}

RIS - Download

TY - JOUR

T1 - Materials structure genealogy and high-throughput topological classification of surfaces and 2D materials

AU - Himanen, Lauri

AU - Rinke, Patrick

AU - Foster, Adam Stuart

N1 - | openaire: EC/H2020/676580/EU//NoMaD

PY - 2018/12/1

Y1 - 2018/12/1

N2 - Automated and verifiable structural classification for atomistic structures is becoming necessary to cope with the vast amount of information stored in various computational materials databases. Here we present a general recursive scheme for the structural classification of atomistic systems and introduce a structural materials map that can be used to organize the materials structure genealogy. We also introduce our implementation for the automatic classification of two-dimensional structures, especially focusing on surfaces and 2D materials. This classification procedure can automatically determine the dimensionality of a structure, further categorize the structure as a surface or a 2D material, return the underlying unit cell and also identify the outlier atoms, such as adsorbates. The classification scheme does not require explicit search patterns and works even in the presence of defects and dislocations. The classification is tested on a wide variety of atomistic structures and provides a high-accuracy determination for all of the returned structural properties. A software implementation of the classification algorithm is freely available with an open-source license.

AB - Automated and verifiable structural classification for atomistic structures is becoming necessary to cope with the vast amount of information stored in various computational materials databases. Here we present a general recursive scheme for the structural classification of atomistic systems and introduce a structural materials map that can be used to organize the materials structure genealogy. We also introduce our implementation for the automatic classification of two-dimensional structures, especially focusing on surfaces and 2D materials. This classification procedure can automatically determine the dimensionality of a structure, further categorize the structure as a surface or a 2D material, return the underlying unit cell and also identify the outlier atoms, such as adsorbates. The classification scheme does not require explicit search patterns and works even in the presence of defects and dislocations. The classification is tested on a wide variety of atomistic structures and provides a high-accuracy determination for all of the returned structural properties. A software implementation of the classification algorithm is freely available with an open-source license.

UR - http://www.scopus.com/inward/record.url?scp=85053256263&partnerID=8YFLogxK

U2 - 10.1038/s41524-018-0107-6

DO - 10.1038/s41524-018-0107-6

M3 - Article

VL - 4

SP - 1

EP - 10

JO - npj Computational Materials

JF - npj Computational Materials

SN - 2057-3960

IS - 1

M1 - 52

ER -

ID: 28341172