@inproceedings{1576588, author = {Popp, J. and Haider, M. and Franckié, M. and Faist, J. and Jirauschek, C.}, title = {Numerical Optimization of Quantum Cascade Detector Heterostructures}, booktitle = {International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)}, year = {2020}, month = {Sep}, publisher = {IEEE Digital Explorer}, isbn = {978-1-7281-6087-0 }, doi = {10.1109/NUSOD49422.2020.9217784}, language = {en}, abstract = {We demonstrate a Bayesian optimization framework for quantum cascade (QC) devices in the mid-infrared (mid-IR) and terahertz (THz) regime. The optimization algorithm is based on Gaussian process regression (GPR) and the devices are evaluated using a perturbed rate equation approach based on scattering rates calculated self-consistently by Fermi's golden rule or alternatively extracted from an Ensemble Monte Carlo (EMC) simulation tool. Here, we focus on the optimization of a mid-IR quantum cascade detector (QCD) at a wavelength of 4.7μm with respect to the specific detectivity as a measure for the signal to noise ratio. At a temperature of 220 K we obtain an improvement in specific detectivity by a factor ∼2.6 to a value of 2.6×108 Jones.}, keywords = { Quantum cascade lasers , Optimization , Mathematical model , Detectors , Ground penetrating radar , Electromagnetic compatibility , Temperature measurement}, url = {https://ieeexplore.ieee.org/document/9217784}, }