Interface-Dipole-Driven Type-II Band Offset Engineering in Perovskite Heterostructures
Bibliographic record
Abstract
Even though perovskite solar cells achieve high efficiency, interfacial energy mismatches with transport layers induce nonradiative recombination and limit performance. Here, we propose interface-dipole-driven band alignment engineering as a strategy to guarantee Type-II band alignment by integrating a Janus monolayer into a perovskite/Janus monolayer/perovskite heterostructure. The intrinsic out-of-plane dipole shifts the band edges of adjacent perovskite layers, thus enabling one layer to act as a light absorber and the other as a charge transport layer. Using CsPbBr 3 /MSSe/CsPbBr 3 (M = Mo, W) as model systems, first-principles calculations confirm the formation of dipole-driven Type-II band alignment, while nonadiabatic molecular dynamics predict extended carrier lifetimes in CsPbBr 3 /WSSe/CsPbBr 3, which can be attributed to its stronger dipole moment of monolayer WSSe and weaker nonadiabatic coupling. These results establish Janus monolayers as a versatile interfacial design platform to enhance carrier separation and suppress recombination, thus paving a way toward simplified, transport-layer-free, high-efficiency perovskite optoelectronics.
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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".