Abstract
THz quantum cascade lasers (QCLs) have been limited to operation below 200 K [1], despite large efforts towards improving active region design and minimizing device losses [2]. The former has typically been done using simplified models with fast calculation times, but which often do not predict the correct lasing frequency, current density, or carrier distribution of the THz active region [3]. Until recently [4], advanced modelling schemes has exclusively been used for analyzing specific devices due to their computational complexity. However, with the growing availability of large computer clusters, it has become feasible to perform optimization on a larger scale also with more complex models, such as the non-equilibrium Green’s function (NEGF) method.
© 2019 IEEE
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