返回
Exploring High Efficiency PCSELs Using Probabilistic Markov Chain Model
DOI:10.1109/jstqe.2026.3677786.png)
摘要
En 中文
在本工作中,通过概率马尔可夫链模型分析了用于提高PCSELs功率转换效率的器件设计。考虑了在1 W功率下总寄生损耗、输出比、阈值电流和功率转换效率的临界比较。这是针对一系列旨在解决边界PC到PCSEL有源元件自吸收问题的新型器件设计进行的。
Keyword:
Photonic crystal
PCSEL
modelling
probabilistic Markov chain
期刊
I
IF:
5.1
论文数:
5.6K
被引数:
1.2W
机构
引用论文
Double-lattice photonic-crystal resonators enabling high-brightness semiconductor lasers with symmetric narrow-divergence beams双晶格光子晶体谐振器可实现具有对称窄发散光束的高亮度半导体激光器
NATURE MATERIALS
IF38.5
High-power and high-beam-quality photonic-crystal surface-emitting lasers: a tutorial高功率和高光束质量的光子晶体表面发射激光器: 教程
Three-dimensional coupled-wave analysis for square-lattice photonic crystal surface emitting lasers with transverse-electric polarization: finite-size effects
OPTICS EXPRESS
IF3.3
Interdependence of parasitic losses in photonic crystal surface emitting lasers光子晶体表面发射激光器中寄生损耗的相互依赖性
AIP Advances
IF0
Convergence criteria for probabilistic Markov chains modelling of photonic crystal surface emitting lasers光子晶体表面发射激光器的概率马尔可夫链建模收敛准则

