Temperature-Dependent High-Speed Dynamics of Terahertz Quantum Cascade Lasers
Temperature-Dependent High-Speed Dynamics of Terahertz Quantum Cascade Lasers
复制标题
DOI：
10.1109/jstqe.2016.2638539
复制
发表时间：
2017-07
影响因子：
4.9
通讯作者：
Gary Agnew;A. Grier;T. Taimre;K. Bertling;Y. Lim;Z. Ikonić;P. Dean;A. Valavanis;P. Harrison;D. Indjin;A. Rakić
中科院分区：
文献类型：
--
作者：
Gary Agnew;A. Grier;T. Taimre;K. Bertling;Y. Lim;Z. Ikonić;P. Dean;A. Valavanis;P. Harrison;D. Indjin;A. Rakić
太赫兹频率量子级联激光器提供了大量潜在的新应用。为了更好地理解和应用这些激光器，开发了一种特定于设备的建模方法，可以真实地预测变化的电流驱动和芯片温度下的光输出功率。模型参数是从能量平衡薛定谔-泊松散射输运计算获得的全套速率方程的自洽解推导出来的。因此，该模型是根据设备结构从第一原理导出的，因此不是仅仅模仿预期设备行为的通用模型或现象学模型。通过将多项式拟合到表示速率方程参数的数据数组，我们能够显着压缩模型，提高内存使用率和计算效率。
Terahertz frequency quantum cascade lasers offer a potentially vast number of new applications. To better understand and apply these lasers, a device-specific modeling method was developed that realistically predicts optical output power under changing current drive and chip temperature. Model parameters are deduced from the self-consistent solution of a full set of rate equations, obtained from energy-balance Schrödinger–Poisson scattering transport calculations. The model is, thus, derived from first principles, based on the device structure, and is, therefore, not a generic or phenomenological model that merely imitates the expected device behavior. By fitting polynomials to data arrays representing the rate equation parameters, we are able to significantly condense the model, improving memory usage and computational efficiency.