Ballistic Transport in State-of-the Art In<sub>0.65</sub>Ga<sub>0.35</sub>As/In<sub>0.52</sub>Al<sub>0.48</sub>As Quantum-Well High-Electron-Mobility Transistors at Room and Cryogenic Temperatures
Bibliographic record
Abstract
This paper presents a systematic analysis of ballistic transport in state-of-the-art <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{In}_{0.65}\text{Ga}_{0.35}\text{As}$</tex> QW HEMTs at both room and cryogenic temperatures. We examine devices with a wide range of gate lengths from 300 nm to sub-100 nm, to study near-ballistic transport, particularly in terms of ballistic mobility and mean-free-path, especially at 4 K. We also consider the impact of channel carrier degeneracy in the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{In}_{0.65}\text{Ga}_{0.35}\text{As}$</tex> QW channel layer, which arises from the relatively low density of states in this layer. Our work underscores the significant role of ballistic mobility in state-of-the art <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{In}_{0.65}\text{Ga}_{0.35}\text{As}$</tex> HEMTs from 300 K to 4 K. It reveals that quantum-mechanical ballistic transport and channel degeneracy must be accounted for during device modeling and characterization. Furthermore, we propose a methodology to graphically determine whether carrier transport is governed by conventional diffusive transport or near-ballistic transport in terms of channel carrier degeneracy and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$L_{g}$</tex> at each temperature ranging from 300 K to 4 K.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".