Studies on the Gamma Radiation Responses of High Tc Superconductors
Bibliographic record
Abstract
Important improvements have been accomplished recently concerning a detailed description and evaluation of the gamma radiation damage effects in solids, and particularly in high Tc superconductors, were Monte Carlo simulation tools have been introduced in different approaches. In Monte Carlo assisted Classical Method approach, MCCM, the OenHolmes-Cahn classical atom displacement rate calculation algorithm was expanded. For this, secondary electron in-depth energy profiles calculated by means of Monte Carlo based codes was introduced, particularly to YBCO superconducting material. On the other side, a new theoretical description of the conditions favoring the occurrence of single fast electron elastic scattering in solids has been developed. Further works in this field are in course, comparing this new atom displacements rate calculation algorithm with previous ones, like MCCM. On the basis of MCCM approach, gamma quanta induced YBCO in-depth atom displacement rate distributions were calculated up to incident energies lower than 10 MeV. At very low incident energies, oxygen atom displacements take place on Cu(1)-O chain sites. With increasing incident energy, firstly Oxygen displacements in Cu(2)-O2 planes and other crystalline sites, while at higher energies Cupper displacements are also induced, which begins to be dominant at about 4 MeV and reaches a maximum contribution of 65% at 10 MeV. The corresponding in-depth dpa profiles at different incident energies due to electrons and positrons were characterized as being very similar. It was concluded, that gamma radiation induced oxygen displacements in both, Cu(2)-O2 planes and Cu(1)-O chains, as well as secondary electrons are eventually trapped in unoccupied O(4) in Cu(1)-O chain sites in basal planes, favoring oxygen rich nearest neighbor configuration around the Cu(1) sites, provoking a strengthening of the
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".