Effects of Bi incorporation on the electronic properties of GaAs: Carrier masses, hole mobility, and Bi‐induced acceptor states
Bibliographic record
Abstract
Abstract The puzzling electronic and transport properties of the Ga(AsBi) alloy are investigated for a wide range of Bi‐concentrations (x = 0–10.6%) by means of various experimental techniques in high magnetic fields (B up to 30 T): magneto‐photoluminescence spectroscopy, magneto‐far‐infrared (FIR) absorption spectroscopy, and Hall effect measurements. Our experimental findings suggest that the strength of hybridization of the continuum states of the valence and conduction bands with the Bi‐related electronic levels depends on the Bi‐concentration, thus leading to band edges with a localized (for x < 6%) or band‐like character (for x > 8%). We report an unusual compositional‐dependence of the exciton reduced mass (µexc), whose value can be larger (for x < 6%) or smaller (for x > 8%) than in GaAs depending on the Bi‐concentration. Correspondingly, the free‐hole mobility (µh) decreases with increasing Bi‐concentration and eventually tends to increase for x > ∼8%. The incorporation of Bi in GaAs also induces the formation of acceptor levels, which we reveal by FIR absorption spectroscopy and Hall effect measurements. The Bi‐induced acceptors are characterized by an exceedingly high value of the effective ground‐state g‐factor (geff ∼ 15) and are responsible for the increasing p‐type conductivity observed in nominally undoped Ga(AsBi) alloys with increasing Bi‐concentration.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".