60 research outputs found

    Advances and promises of layered halide hybrid perovskite semiconductors

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    Layered halide hybrid organic-inorganic perovskites (HOP) have been the subject of intense investigation before the rise of three-dimensional (3D) HOP and their impressive performance in solar cells. Recently, layered HOP have also been proposed as attractive alternatives for photostable solar cells and revisited for light-emitting devices. In this review, we combine classical solid-state physics concepts with simulation tools based on density functional theory to overview the main features of the optoelectronic properties of layered HOP. A detailed comparison between layered and 3D HOP is performed to highlight differences and similarities. In the same way as the cubic phase was established for 3D HOP, here we introduce the tetragonal phase with D symmetry as the reference phase for 2D monolayered HOP. It allows for detailed analysis of the spin-orbit coupling effects and structural transitions with corresponding electronic band folding. We further investigate the effects of octahedral tilting on the band gap, loss of inversion symmetry and possible Rashba effect, quantum confinement, and dielectric confinement related to the organic barrier, up to excitonic properties. Altogether, this paper aims to provide an interpretive and predictive framework for 3D and 2D layered HOP optoelectronic properties.The work at FOTON is supported by Agence Nationale pour la Recherche (SNAP and SuperSansPlomb projects) and was performed using HPC resources from GENCI-CINES/IDRIS Grant 2016-c2012096724. The work at ISCR is supported by Agence Nationale pour la Recherche (TRANSHYPERO project). J.E.’s work is supported by the Fondation d’entreprises banque Populaire de l’Ouest under Grant PEROPHOT 2015. The work at Los Alamos National Laboratory (LANL) was supported by LANL LDRD program and was partially performed at the Center for Nonlinear Studies and at the Center for Integrated Nanotechnologies, a U.S. Department of Energy, Office of Science user facility. The Groningen team would like to acknowledge funding from European Research Council (ERC Starting Grant “Hy-SPOD” No. 306983) and by the Foundation for Fundamental Research on Matter (FOM), which is part of The Netherlands Organization for Scientific Research (NWO), under the framework of the FOM Focus Group “Next Generation Organic Photovoltaics”. ICN2 acknowledges support from the Severo Ochoa Program (MINECO, Grant SEV-2013-0295). This project received funding from the European Union's Horizon 2020 research and innovation programme under the grant agreement no. 687008.Peer Reviewe

    Um modelo para análise socioeconômica da criminalidade no município de Aracaju

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    Este trabalho tem por objetivo investigar as razões socioeconômicas da criminalidade em Aracaju, a partir de fontes primárias e secundárias de informação. Para tanto, parte-se de uma análise teórica, na qual foram identificadas quatro hipóteses explicativas para a criminalidade: (i) ato racional deliberado; (ii) relacionada com o ciclo econômico; (iii) decorrente da maior desigualdade social existente na economia contemporânea e; (iv) não diretamente relacionada com variáveis socioeconômicas. A seção seguinte descreve a metodologia empregada para a construção do banco de dados e para a análise por meio de regressão do tipo stepwise. Na última seção são apresentados os resultados: o modelo explica 90% do comportamento dos crimes contra o patrimônio, e as variáveis responsáveis por tal comportamento são: a concentração de renda, características da infra-estrutura existente nos bairros, a baixa densidade demográfica e a menor participação dos jovens no total da população.________________________________________________________________________________________ ABSTRACT: This paper aims to investigate the socioeconomic reasons of criminality in Aracaju/SE, using primary and secondary sources of information. Beginning with a theoretical analysis, we identified four hyphotesis to the criminality which are: (i) a deliberated rational action; (ii) related to the economic cycle; (iii) consequence of the growing social inequality in the contemporary economy and (iv) not directly related to the socioeconomic reasons. The next section describes the methodology employed to construct the database and for analysis through stepwise regression. The results are presented in the last section: our model explains 90% of the property crime behavior, mainly due: income inequality, existing characteristics of infrastructure in the city districts, low demographic density and low rate of youths participation in the whole population
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