Device model for intermediate band materials
Bibliographic record
Abstract
Device modeling is an essential part of the design of all semiconductor devices. Though many device models exist for semiconductors, there has not been any that can treat the optical, transport, and trapping processes of intermediate band (IB) materials, which have an extra band of allowed electronic states deep inside the semiconductor bandgap. We demonstrate Simudo, a new open source finite element device model for two-dimensional IB devices, with support for semiconductor and IB materials. Simudo solves the coupled Poisson/drift-diffusion equations for the transport of carriers in multiple bands: the valence, conduction, and any number of intermediate bands. It uses degenerate statistics for the IB band occupancy and self-consistent optical absorption, dependent on the photofilling of the IB. We show that Simudo performance is excellent for a pn-diode structure, benchmarked against Synopsys Sentaurus. Simudo permits simulation and optimization of IB devices and should be of immediate utility for those working on IB solar cells and photodetectors.
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How this classification was reachedexpand
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) | 0.000 | 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) | 0.003 | 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 teacher head, 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".