Rational Control of Near‐Infrared Colloidal Thick‐Shell Eco‐Friendly Quantum Dots for Solar Energy Conversion
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 Thick‐shell colloidal quantum dots (QDs) are promising building blocks for solar technologies due to their size/composition/shape‐tunable properties. However, most well‐performed thick‐shell QDs suffer from frequent use of toxic metal elements including Pb and Cd, and inadequate light absorption in the visible and near‐infrared (NIR) region due to the wide bandgap of the shell. In this work, eco‐friendly AgInSe 2 /AgInS 2 core/shell QDs, which are optically active in the NIR region and are suitable candidates to fabricate devices for solar energy conversion, are developed. Direct synthesis suffers from simultaneously controlling the reactivity of multiple precursors, instead, a template‐assisted cation exchange method is used. By modulating the monolayer growth of template QDs, gradient AgInSeS shell layers are incorporated into AgInSe 2 /AgInS 2 QDs. The resulting AgInSe 2 /AgInSeS/AgInS 2 exhibits better charge transfer than AgInSe 2 /AgInS 2 due to their favorable electronic band alignment, as predicted by first‐principle calculations and confirmed by transient fluorescence spectroscopy. The photoelectrochemical cells fabricated with AgInSe 2 /AgInSeS/AgInS 2 QDs present ≈1.5‐fold higher current density and better stability compared to AgInSe 2 /AgInS 2 . The findings define a promising approach toward multinary QDs and pave the way for engineering the QDs’ electronic band structures for solar‐energy conversion.
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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 | 0.004 | 0.001 |
| 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) | 0.001 | 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 it