“…The probability of photon scattered to different directions can be determined from corresponding coupling constants κ. Figure 1b shows a simulated band-structure of a PCSEL device [6], from which inplane coupling constants (κ1D & κ2D) can be calculated. There are two other scattering coefficients κ that can be calculated in similar way.…”
Section: Microscopic and Macroscopic Of Pcselmentioning
confidence: 99%
“…There are several ways at the device level where these parameters manifest themselves. Figure 2b shows a PI curve from a PCSEL [6]. Probabilistic Markov Chains modelling can simulate any unknown loss when the other two are provided, then the slop efficiency of the device can be calculated from the equation given in figure 2b.…”
Section: Microscopic and Macroscopic Of Pcselmentioning
confidence: 99%
“…a measured PI curve from a PCSEL device. [6] This Probabilistic Markov Chains modelling method is designed to link microscopic parameters (coupling constants) and macroscopic mechanism (device level gain and loss) aiming to realize a method to predict the device performance without completely using a priori knowledge of the PC band. In this paper, convergence of the simulation with regard to the in-plane loss (α//) is presented, a key parameter in PCSEL design.…”
Section: Microscopic and Macroscopic Of Pcselmentioning
“…The probability of photon scattered to different directions can be determined from corresponding coupling constants κ. Figure 1b shows a simulated band-structure of a PCSEL device [6], from which inplane coupling constants (κ1D & κ2D) can be calculated. There are two other scattering coefficients κ that can be calculated in similar way.…”
Section: Microscopic and Macroscopic Of Pcselmentioning
confidence: 99%
“…There are several ways at the device level where these parameters manifest themselves. Figure 2b shows a PI curve from a PCSEL [6]. Probabilistic Markov Chains modelling can simulate any unknown loss when the other two are provided, then the slop efficiency of the device can be calculated from the equation given in figure 2b.…”
Section: Microscopic and Macroscopic Of Pcselmentioning
confidence: 99%
“…a measured PI curve from a PCSEL device. [6] This Probabilistic Markov Chains modelling method is designed to link microscopic parameters (coupling constants) and macroscopic mechanism (device level gain and loss) aiming to realize a method to predict the device performance without completely using a priori knowledge of the PC band. In this paper, convergence of the simulation with regard to the in-plane loss (α//) is presented, a key parameter in PCSEL design.…”
Section: Microscopic and Macroscopic Of Pcselmentioning
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