Optimization Of Porous Medium For Solar Radiation Capture
Bibliographic record
Abstract
Fossil fuel usage is resulting in global warming. There is a need to switch to renewable energies, but existing technologies lack the efficiency for widescale adoption. Solar energy is the most abundant source of renewable energy that has the potential to replace fossil-based energy resources. However, the commercially available solar energy technologies typically have low conversion efficiencies, making them less competitive as compared to conventional fossil-based systems. Concentrated solar power (CSP) is an efficient approach to convert solar energy into high-grade thermal energy at very high efficiency. Among CSP systems, the parabolic-dish CSP system is considered as the most efficient. In a parabolic-dish CSP system, a parabolic dish directs sunlight to a single focal point where it is converted to thermal energy through absorption into the receiver. A challenge with current designs is that the surface of the thermal receiver reaches a high temperature and does not efficiently transfer the heat due to re-radiation losses. Thus, there is a need to re-design the thermal receiver to maximize the efficiency of CSP.
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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) | 0.000 | 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".