Nanomaterials: Removal processes and beneficial applications in treatment
Bibliographic record
Abstract
Nanomaterials are typically defined as particles with at least one dimension measuring < 100 nm. Limited information is currently available and more research is needed regarding the occurrence of these materials in source water and the effectiveness of water treatment processes at removing engineered nanomaterials. Engineered nanomaterials also offer opportunities for improving the operation and performance of drinking water treatment systems. Nanomaterials are currently being developed for the removal of trace organics and metals and for disinfection through application to membranes (nanomaterial‐enhanced or nanoreactive membranes), ion exchange, and sorption processes. Nanomaterials can remove contaminants of emerging concern by oxidation processes (e.g., titanium dioxide photocatalysis) and abiotic reduction (e.g., nanozerovalent iron). They are also being used in nanosensors for water quality monitoring. Ongoing development of nanomaterials is expected to continue contributing improvements to treatment systems with the potential for increasing the availability of safe drinking water supplies.
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 | 0.000 | 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".