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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Akola, Jaakko
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2024Deposited PtGe clusters as active and durable catalysts for CO oxidationcitations
- 2024Graphite nucleation on (Al, Si, Mg)-nitrides : Elucidating the chemical interactions and turbostratic structures in spheroidal graphite cast ironscitations
- 2024Graphite nucleation on (Al, Si, Mg)-nitridescitations
- 2023Machine-learned model Hamiltonian and strength of spin-orbit interaction in strained Mg2X (X = Si, Ge, Sn, Pb)citations
- 2022Machine-learned model Hamiltonian and strength of spin-orbit interaction in strained Mg2X (X = Si, Ge, Sn, Pb)citations
- 2021Comparison of optical response from DFT random phase approximation and a low-energy effective modelcitations
- 2021Comparison of optical response from DFT random phase approximation and a low-energy effective model : Strained phosphorenecitations
- 2020Density functional simulations of pressurized Mg-Zn and Al-Zn alloyscitations
- 2020Strain-engineered widely tunable perfect absorption angle in black phosphorus from first principlescitations
- 2020Synergistic Computational-Experimental Discovery of Highly Selective PtCu Nanocluster Catalysts for Acetylene Semihydrogenationcitations
- 2020Atomistic simulations of early stage clusters in AlMg alloyscitations
- 2019Highly ductile amorphous oxide at room temperature and high strain ratecitations
- 2019Highly ductile amorphous oxide at room temperature and high strain ratecitations
- 2019Ultrahigh-pressure form of Si O2 glass with dense pyrite-type crystalline homologycitations
- 2019Atomistic simulations of early stage clusters in Al–Mg alloyscitations
- 2018Atomistic simulations of early stage clusters in AlMg alloyscitations
- 2016Tuning electronic properties of graphene heterostructures by amorphous-to-crystalline phase transitionscitations
- 2015Structure of amorphous Ag/Ge/S alloys: experimentally constrained density functional studycitations
- 2015The Prototype Phase Change Material Ge2Sb2Te5citations
- 2003Close packing of clusterscitations
- 2001Metallic evolution of small magnesium clusters
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article
Comparison of optical response from DFT random phase approximation and a low-energy effective model
Abstract
<p>The engineering of the optical response of materials is a paradigm that demands microscopic-level accuracy and reliable predictive theoretical tools. Here we compare and contrast the dispersive permittivity tensor, using both a low-energy effective model and density functional theory (DFT). As a representative material, phosphorene subject to strain is considered. Employing a low-energy model Hamiltonian with a Green's function current-current correlation function, we compute the dynamical optical conductivity and its associated permittivity tensor. For the DFT approach, first-principles calculations make use of the first-order random phase approximation. Our results reveal that although the two models are generally in agreement within the low-strain and low-frequency regime, the intricate features associated with the fundamental physical properties of the system and optoelectronics devices implementation such as band gap, Drude absorption response, vanishing real part, absorptivity, and sign of permittivity over the frequency range show significant discrepancies. Our results suggest that the random phase approximation employed in widely used DFT packages should be revisited and improved to be able to predict these fundamental electronic characteristics of a given material with confidence. Furthermore, employing the permittivity results from both models, we uncover the pivotal role that phosphorene can play in optoelectronics devices to facilitate highly programable perfect absorption of electromagnetic waves by manipulating the chemical potential and exerting strain and illustrate how reliable predictions for the dielectric response of a given material are crucial to precise device design.</p>