Bibliographic record
Abstract
Global warming is a current topic all over the world. CO<sub>2</sub> emissions must be lowered to stop the already started climate change. Developing regenerative energy sources, like photovoltaics and fuel cells contributes to the solution of this problem. Innovative technologies and strategies need to be competitive with conventional energy sources. During the last years, the photovoltaic solar cell industry has experienced enormous growth. However, for solar cells to be competitive on the longer term, both an increase in efficiency as well as reduction in costs is necessary. An effective method to reduce costs of silicon solar cells is reducing the wafer thickness, because silicon makes up a large part of production costs. Consequently, contact free laser processing has a large advantage, because of the decrease in waste materials due to broken wafers as caused by other manufacturing processes. Additionally, many novel high efficiency solar cell concepts are only economically feasible with laser technology, e.g. for scribing silicon thin-film solar cells. This paper describes laser hole drilling, structuring and texturing of silicon wafer based solar cells and describes thin film solar cell scribing. Furthermore, different types of lasers are discussed with respect to processing quality and time.
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 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".