Templated Droplet Evaporation‐Based Supraparticles in Environmental Applications
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 Designing of innovative technologies for the development of functional materials remain crucial for achieving sustainable technological advancements. In this regard, nanoparticles (NPs) possessing enormous potential properties can be obtained using various facile methods for several applications. Adopting NPs as primitive building blocks can initiate the formation of complex entities named supraparticle (SP) to create several advanced functional materials. Additionally, SPs enable entirely new material characteristics to the system, owing to their individual entities, intrinsic properties such as coupling, spatial arrangement, and co‐localization. Indeed, methods such as template‐induced evaporation‐based assembly of NPs direct the shape, size, and morphology of SPs from their respective colloidal dispersions on a solvent‐repellant solid surface. Therefore, it is important to comprehend the formation of SPs and their structure‐property relationship with respect to practical application. This review presents a brief overview of SPs assembly by outlining the templated‐assisted evaporation‐based methodologies for synthesizing SPs. Further, the effect of various factors on the interaction between colloidal entities, solvent, and substrate, leading to the genesis of SPs is elaborated. Conclusively, specific properties are described and applications of SPs for energy storage, generation, and environmental remediation are reported, which collectively brings many interdisciplinary research fields to the same podium.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 | 0.001 |
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 it