Symmetry-based computational search for novel binary and ternary 2D materials
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"created": "2022-11-20T10:50:15.998882+00:00",
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"doi": "10.24435/materialscloud:sb-cy",
"status": "published",
"title": "Symmetry-based computational search for novel binary and ternary 2D materials",
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"_oai": {
"id": "oai:materialscloud.org:1554"
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"keywords": [
"high-throughput",
"density-functional theory",
"2D materials",
"machine learning",
"crystal-graph neural networks"
],
"conceptrecid": "1553",
"is_last": true,
"references": [
{
"type": "Journal reference",
"citation": "Hai-Chen Wang, Jonathan Schmidt, Miguel A. L. Marques, Ludger Wirtz, and Aldo H. Romero, submitted (2022)"
}
],
"publication_date": "Nov 21, 2022, 09:56:14",
"license": "Creative Commons Attribution 4.0 International",
"id": "1554",
"description": "We present a symmetry-based exhaustive approach to explore the structural and compositional richness of two-dimensional materials. We use a combinatorial engine' that constructs potential compounds by occupying all possible Wyckoff positions for a certain space group with combinations of chemical elements. These combinations are restricted by imposing charge neutrality and the Pauling test for electronegativities. The structures are then pre-optimized with a specially crafted universal neural-network force-field, before a final step of geometry optimization using density-functional theory is performed. In this way we unveil an unprecedented variety of two-dimensional materials, covering the whole periodic table in more than 30 different stoichiometries of form AnBm or AnBmCk. Among the found structures we find examples that can be built by decorating nearly all Platonic and Archimedean tesselations as well as their dual Laves or Catalan tilings. We also obtain a rich, and unexpected, polymorphism for some specific compounds. We further accelerate the exploration of the chemical space of two-dimensional materials by employing machine-learning-accelerated prototype search, based on the structural types discovered in the exhaustive search. In total, we obtain around 6500 compounds, not present in previous available databases of 2D materials, with an energy of less than 250 meV/atom above the convex hull of thermodynamic stability.",
"version": 1,
"contributors": [
{
"affiliations": [
"Institut f\u00fcr Physik, Martin-Luther-Universit\u00e4t Halle-Wittenberg, 06120 Halle (Saale), Germany."
],
"familyname": "Wang",
"givennames": "Hai-Chen"
},
{
"affiliations": [
"Institut f\u00fcr Physik, Martin-Luther-Universit\u00e4t Halle-Wittenberg, 06120 Halle (Saale), Germany."
],
"familyname": "Schmidt",
"givennames": "Jonathan"
},
{
"email": "miguel.marques@physik.uni-halle.de",
"affiliations": [
"Institut f\u00fcr Physik, Martin-Luther-Universit\u00e4t Halle-Wittenberg, 06120 Halle (Saale), Germany."
],
"familyname": "L. Marques",
"givennames": "Miguel A."
},
{
"email": "ludger.wirtz@uni.lu",
"affiliations": [
"Department of Physics and Materials Science, University of Luxembourg, 162a avenue de la Fa\u00efencerie, L-1511 Luxembourg, Luxembourg"
],
"familyname": "Wirtz",
"givennames": "Ludger"
},
{
"email": "Aldo.Romero@mail.wvu.edu",
"affiliations": [
"Department of Physics, West Virginia University, Morgantown, WV 26506, USA",
"Department of Physics and Materials Science, University of Luxembourg, 162a avenue de la Fa\u00efencerie, L-1511 Luxembourg, Luxembourg"
],
"familyname": "Romero",
"givennames": "Aldo H."
}
],
"edited_by": 576
},
"updated": "2022-11-21T08:56:14.410795+00:00"
}