Combinatorial discovery of new thin film photovoltaics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A combinatorial approach to discover new types of thin film photovoltaic devices containing only abundant, inexpensive, and relatively nontoxic elements is described. A large number of compound semiconductors with band-gaps suitable for solar energy conversion (1.0-2.0 eV) are known, including many sulfide compounds, but have not yet been used in efficient devices. Thin films of several sulfide semiconductors will be prepared and their microstructure and optical and electrical properties characterized. Combinatorial methods will be employed to simultaneously prepare many combinations of back contacts, absorber layers, buffer layers, heterojunction window layers, and top contacts. The combinatorial approach is necessary, because existing thin film technologies have largely been selected and improved empirically. The combinatorial approach will enable us to greatly accelerate the rate of empirical discovery.
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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) | 0.000 | 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 it