All Wood‐Based Evaporator via Cell Wall Regulating for Integrated Water and Energy Generation
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
Abstract Solar‐powered interfacial evaporators (SPIEs) derived from natural wood present a sustainable solution to global water scarcity. However, the full‐component utilization of wood and the precise engineering of its microstructure remain underexplored. Here, response surface methodology is coupled with cell wall engineering to regulate the dissolution‐regeneration of cellulose in situ in the cell wall, constructing micro/nanofibrillar networks within wood and facilitating water transport. Lignin, self‐extracted from natural wood, is employed as a photothermal material, enabling integrated photothermal layer design and achieving a photothermal conversion efficiency of 91.25%. The resulting wood‐based SPIE (W‐SPIE) delivers a high evaporation rate of 2.07 kg m −2 h −1 . Concurrent water‐electricity co‐generation is achieved during water harvesting, yielding 254.52 mV and 1.07 µA, with a sustained evaporation rate of 1.92 kg m −2 h −1 . Life‐cycle assessment indicates a 30.99% reduction in carbon emissions relative to petroleum‐derived hydrogel evaporators. This W‐SPIE demonstrates an effective, carbon‐conscious approach for simultaneous clean water production and energy harvesting, offering a viable strategy for addressing escalating global water and energy demands through full valorization of renewable wood resources.
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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 | 0.001 | 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 it