A non‐noble metal plasmonic photothermal nanoparticle floating device for efficient interface water evaporation
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 The utilization of solar energy for steam generation presents an eco‐friendly and sustainable strategy to address the challenges linked with water scarcity. Nevertheless, its widespread implementation in industrial production has been significantly hindered by the intrinsic limitation of low evaporation efficiency. Herein, we report a straightforward non‐noble metal plasma photothermal floating device designed for interfacial water evaporation. Precisely, 3 mg of synthesized TiN nanoparticles was uniformly spin‐coated on the carbonized wood dealt with hydrothermal reaction. The experimental results demonstrated a noteworthy photothermal water evaporation efficiency of 93.4% under the irradiation of 1 kW m −2 . Simultaneously, the device exhibited exceptional stable repeatability and salt resistance. The typical ion concentrations (Na + , K + , Ca 2+ , Mg 2+ ) before and after seawater evaporation were monitored and found to have a remarkable ion removal rate of 99.57% ~ 99.94%, which is even lower than the national drinking water hygiene standards. We firmly believe that our work could offers valuable insights for the advancement of large‐scale seawater desalination and crystalline salt recovery applications.
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.
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