Constructing Multifunctional Virus-Templated Nanoporous Composites for Thin Film Solar Cells: Contributions of Morphology and Optics to Photocurrent Generation
Bibliographic record
Abstract
Biotemplates, such as the high aspect ratio M13 bacteriophage, can be used to nucleate noble metal nanoparticles and photoactive materials such as metal oxides, as well as organize them into continuous structures. Such attributes make them attractive scaffolds for solar applications requiring precise organization at the nanoscale. For instance, thin film solar cells benefit from nanostructured morphologies that aid light absorption and carrier transport. Here, we present a biotemplating strategy for assembling nanostructured thin film solar cells that enhance the generated photocurrent through two features: (1) a nanoporous and continuous M13 bacteriophage-templated titania network that improves charge collection and (2) the incorporation of metal nanoparticles within the active layer of the device to improve light harvesting. We demonstrate our ability to construct virus-templated solar cells by applying this strategy to depleted titania–lead sulfide quantum dot (PbS QD) bulk heterojunctions. The titania morphology produced by our biotemplate allows charges to be efficiently collected from the bulk of the active material and light that is otherwise poorly absorbed by the QDs to be harvested using metal nanoparticles that exhibit plasmon resonances in the visible range. We show that high aspect ratio bacteriophages provide a structural template for synthesizing titania networks with tunable porosity, into which PbS QDs are infiltrated to create photoactive nanocomposites suitable for photovoltaics. Upon optimization, the generated photocurrent and power conversion efficiency of the bacteriophage-templated devices demonstrate a 2-fold improvement over those of control devices made with randomly organized titania nanoparticles. When the virus is complexed with gold nanoparticles (Au NPs), silver nanoparticles (Ag NPs), or silver nanoplates (Ag NPLs) during assembly, the device performance is further improved, with Ag NPLs enhancing the short-circuit current density and power conversion efficiency by 16% and 36.5%, respectively, over those of virus-based devices without NPs. The observed trends in photocurrent enhancement match well with numerical predictions, and the role of the nanostructured morphology on the device optics was computationally explored. The challenges overcome in this work could be extended to other heterojunction devices, such as hybrid systems involving conducting polymers, as well as other biologically templated electronics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".