Design and Utilization of Infrared Light for Interfacial Solar Water Purification
Bibliographic record
Abstract
Clean drinking water is increasingly perceived as one of the most critical global challenges. Direct solar desalination with a minimal carbon footprint is a promising technology to alleviate the water challenge. However, this technology still faces a series of problems, such as poor salt-rejection of the absorber and low condensation efficiency and water output. Currently, the design and utilization of infrared light shows unique advantages in solving these problems. With this background, this Focus Review aims to summarize the state-of-the-art progress of three infrared-light-based strategies for direct solar desalination: the use of selective absorbers to obtain higher solar-to-vapor conversion efficiency, the use of radiative energy to indirectly heat the water to resolve the salt-rejecting problem of the absorber, and use of radiative cooling to enhance the output of freshwater. Also, unsolved scientific and technical issues associated with the outlook in these directions are discussed, with the hope of further promoting direct solar desalination for sustainability and global welfare.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".