Defect creation in Ge and GaAs semiconductor crystals by huge electronic excitations: A thermal spike description
Bibliographic record
Abstract
Irradiation of semiconductor crystals with swift heavy ions or cluster beams is one way of obtaining information about both the defect characteristics in the investigated material and the defect formation mechanisms. In this work, to explain the formation of defects (latent tracks) observed experimentally to be effects of cluster–ion irradiations in Ge and GaAs, we have used the thermal spike model. The part of the energy used for thermal spike formation is determined by the electron–phonon coupling constant, g, which is unknown for semiconductors. The thermal spike calculations performed with an electron–phonon coupling constant, g(300 K) = 1.8 × 1012 W cm−3K−1 for Ge and g(300 K) = 3.2 × 1012 Wcm−3K−1 for GaAs nicely reproduce the size of amorphous tracks observed in both materials irradiated with C60 clusters, assuming the quenching of a vapor phase as the criterion of track formation. Our results also show that g decreases when the electronic stopping power threshold increases. The expected propensity, electron–phonon coupling increasing with the band gap energy, is confirmed.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".