Structure/Property Control in Photocatalytic Organic Semiconductor Nanocrystals
Bibliographic record
Abstract
Abstract Photocatalysis offers a practical solution to the ever increasing energy and environmental issues by using a semiconductor to harvest freely available sunlight. Photoactive organic semiconductor nanocrystals (OSNs) are promising photocatalysts due to their structure and function which are easily tunable by molecular design. Extensive studies have yielded significant progress on OSNs in terms of photoresponse, charge carrier mobility, as well as photoconversion efficiency. This review provides a comprehensive discussion of the emerging crystal and interface engineering strategies used in optimizing structure/property of OSNs. The basic mechanisms involved in organic photocatalysis are discussed, for a better understanding of its dependence on the molecular and supramolecular structures. Then, the intermolecular interactions in molecular packing and the kinetic and thermodynamic control over the crystal growth process are summarized, with the aim of tuning the optical and electrical properties. Band energy alignment, charge carrier dynamics, and charge transfer are discussed in different heterostructures. In each case, structure/property relationships and how to tune them are emphasized. Finally, challenges and opportunities for the practical use of the organic photocatalysts are discussed.
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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) | 0.006 | 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".