Investigation of Coulomb scattering in terahertz quantum cascade lasers
Bibliographic record
Abstract
Based on rate equation simulation, the impact of ionized-impurity and electron–electron scatterings on the device characteristics of terahertz (THz) quantum cascade lasers (QCLs) is investigated. This study applies the discretized Fourier transform to speed up the calculation of electron–electron scattering term and improves the calculation time by three orders without impairing accuracy. In addition, a screening effect model, which is necessary for the Coulomb scattering rate calculation, is also carefully selected. An indirectly pumped THz QCL and two types of direct resonant-phonon devices are chosen as examples in this study. The simulation results show that the influence of Coulomb scatterings varies according to device structures. Therefore, it is preferable to include physical models of these carrier scattering phenomena in the simulation when the highest operation temperature is predicted. In addition, this study also discusses the necessity of a pure dephasing time model.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".