Scanning spreading resistance microscopy study of a metalorganic chemical vapor deposited grown InP optoelectronic structure
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Bibliographic record
Abstract
Scanning spreading resistance microscopy (SSRM) is a promising new tool for dopant profiling in semiconductor materials. We present the results of a SSRM study of the cross section of a metalorganic chemical vapor deposited grown optoelectronic structure. The SSRM measurements are compared with the secondary ion mass spectrometry (SIMS) and excellent spatial agreement is obtained. However, we find that obtaining quantitative agreement with SIMS is complicated by the differing nonlinear I-V characteristics of n- and p-type InP. The results suggest that obtaining quantitative agreement with SIMS would require calibration of each SSRM probe tip with both n- and p-type materials. The high spatial resolution of the technique is demonstrated by our ability to easily resolve the 17.5 nm quantum well and barrier layer structure of the device. The results suggest that the greatest strength of SSRM will be the delineation of complex buried semiconductor structures.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it