Bibliographic record
Abstract
Two layer sputtered BiIIn thin films (12-120 nmllayer) act as a micro-fabrication resist with many potential applications.Their physical, chemical, and optical characteristics change after laser exposures that produce a rapid thermal anneal in selected areas.Laser exposed areas have lower reflectivity and higher transparency.The structural and electrical properties of BiAn films before and after annealing was investigated in this thesis work.AFM (Atomic Force Microscopy), XRD (X-ray Diffraction), and TEM (Transmission Electronic Microscopy) show that the as-deposited films are polycrystalline, continuous, but with a rough, island morphology.Furnace or laser anneals in air result in the formation of Bismuth and Indium oxides.The island morphology is maintained but there is evidence of melting and recrystallization.RBS (Rutherford Back Scattering) and NRA (Nuclear Reaction Analysis) analysis confirm that Bi/In films exposed to laser or bate contain a large fraction of oxygen consistent with the XRD, and TEM results.Hall effect measurements show a high electron carrier concentrations of 4 x 10~Ocm-~ for Bi/In films after exposure.To My Little Qianah, "Your hands are like two wings which let mefly as high as you are with me".To My Husband Abbas, Who Encouraged me to Never Give Up.
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 | 0.000 | 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".