Stability of the Dirac cone in artificial graphene formed in quantum wells: a computational many-electron study

Autor: Kylanpaa I., Berardi F., Rasanen E., Garcia-Gonzalez P., Rozzi C.A., Rubio A.
Přispěvatelé: Academy of Finland, European Research Council, Ministerio de Economía y Competitividad (España), Eusko Jaurlaritza, European Commission, Tampere University, Department of Physics, Research group: Quantum Control and Dynamics
Rok vydání: 2016
Předmět:
Zdroj: New Journal of Physics
Digital.CSIC: Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
New journal of physics 18 (2016). doi:10.1088/1367-2630/18/8/083014
info:cnr-pdr/source/autori:Kylanpaa I.; Berardi F.; Rasanen E.; Garcia-Gonzalez P.; Rozzi C.A.; Rubio A./titolo:Stability of the Dirac cone in artificial graphene formed in quantum wells: A computational many-electron study/doi:10.1088%2F1367-2630%2F18%2F8%2F083014/rivista:New journal of physics/anno:2016/pagina_da:/pagina_a:/intervallo_pagine:/volume:18
ISSN: 1367-2630
0953-8984
0022-3727
0034-4885
DOI: 10.1088/1367-2630/18/8/083014
Popis: We carry out a comprehensive computational study on the stability of the Dirac cone in artificial graphene realized in nanopatterned quantum wells. Our real-space approach allows us to vary the size, shape, and positioning of the quantum dots in the hexagonal lattice. We compare the (noninteracting) single-particle calculations to density-functional studies within both local-density approximation and meta-generalized-gradient approximation. Furthermore, the density-functional results are compared against numerically precise path-integral quantum Monte Carlo calculations. As a whole, our results indicate high stability of the Dirac bands against external parameters, which is reassuring for further experimental investigations.
This work has been supported by the Academy of Finland (grant agreement No. 267686) and the Nordic Innovation through its Top-Level Research Initiative (Project No. P-13053), the European Research Council (ERC-2015-AdG-694097), the Spanish Ministry of Economy and Competitiveness (grants FIS2013-46159-C3-1-P, and MAT2014-53432-C5-5-R), the Basque Country Government (Grupos Consolidados IT-578-13), FP7 MC-IIF MODENADYNA (grant agreement No. 623413), and COST Action MP1306 (EUSpec). PGG acknowledges financial support from the Spanish Ministry of Economy and Competitiveness, through the 'María de Maeztu' Programme for Units of Excellence in R&D (MDM-2014-0377).
Databáze: OpenAIRE
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