In order to predict through numerical simulation the optical and carrier transport properties of GaN-based light-emitting diodes (LEDs), a genuine quantum approach should be combined with an atomistic description of the electronic structure. However, computational considerations have elicited the empirical inclusion of quantum contributions within conventional semiclassical drift-diffusion approaches. The lack of first-principles validation tools has left these “quantum corrections” largely untested, at least in the context of LED simulation. We discuss here the results obtained comparing state-of-the-art commercial numerical simulators, in order to assess the predictive capabilities of some of the most important quantum-based models complementing the drift-diffusion equations.
Modeling challenges for high-efficiency visible light-emitting diodes / Bertazzi, F.; Dominici, S.; Mandurrino, M.; Robidas, D.; Xiangyu, Zhou; Vallone, M.; Calciati, M.; Debernardi, P.; Verzellesi, Giovanni; Meneghini, M.; Bellotti, E.; Ghione, G.; Goano, M.. - STAMPA. - (2015), pp. 157-160. (Intervento presentato al convegno 1st IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI 2015) tenutosi a Torino (Italy) nel 16-18 Sept. 2015) [10.1109/RTSI.2015.7325090].
Modeling challenges for high-efficiency visible light-emitting diodes
VERZELLESI, Giovanni;
2015
Abstract
In order to predict through numerical simulation the optical and carrier transport properties of GaN-based light-emitting diodes (LEDs), a genuine quantum approach should be combined with an atomistic description of the electronic structure. However, computational considerations have elicited the empirical inclusion of quantum contributions within conventional semiclassical drift-diffusion approaches. The lack of first-principles validation tools has left these “quantum corrections” largely untested, at least in the context of LED simulation. We discuss here the results obtained comparing state-of-the-art commercial numerical simulators, in order to assess the predictive capabilities of some of the most important quantum-based models complementing the drift-diffusion equations.File | Dimensione | Formato | |
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