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Record W2898391208 · doi:10.1021/acs.chemmater.8b03755

Cu(II)-Doped Cs<sub>2</sub>SbAgCl<sub>6</sub> Double Perovskite: A Lead-Free, Low-Bandgap Material

2018· article· en· W2898391208 on OpenAlexafffund
Abhoy Karmakar, Mya S. Dodd, Satyam Agnihotri, Enrico Ravera, Vladimir K. Michaelis

Bibliographic record

VenueChemistry of Materials · 2018
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsUniversity of Alberta
FundersFondazione Cassa di Risparmio di FirenzeCanada First Research Excellence FundNatural Sciences and Engineering Research Council of CanadaGovernment of AlbertaEnte Cassa di Risparmio di FirenzeUniversità degli Studi di FirenzeCanada Foundation for InnovationUniversity of AlbertaUniversity of Ottawa
KeywordsElectron paramagnetic resonanceMaterials sciencePerovskite (structure)ParamagnetismBand gapDopantHalideDopingThermal stabilityCrystallinityCrystallographyChemistryNuclear magnetic resonanceInorganic chemistryCondensed matter physicsOptoelectronics

Abstract

fetched live from OpenAlex

Lead-free halide double perovskites with a generic formula of A2B′(III)B″(I)X6 (A and B are cations and X is a halide anion) are being explored as a less toxic, higher thermal- and moisture-stable alternative to well-studied lead halide perovskite (APbX3) solar energy absorbers. However, the absorption profiles of most double perovskites reported to date have larger bandgaps (>2 eV) that are poorly aligned with the solar spectrum, reducing their photoconversion efficiency. Here, we present new heterovalent paramagnetic Cu2+-doped Cs2SbAgCl6 double perovskites that exhibit dramatic shifts in their bandgaps from ∼2.6 eV (Cs2SbAgCl6, parent) to ∼1 eV (Cu2+-doped Cs2SbAgCl6). Powder X-ray diffraction patterns of the Cu2+-doped polycrystalline materials indicate long-range crystallinity with nonuniform microstrain in the crystal lattice. To decode the dopant, complementary magnetic resonance spectroscopy techniques, solid-state nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR), are used to unravel the complex short- and medium-range structure of these novel double perovskite materials. Variable temperature 133Cs NMR spectroscopy reveals that paramagnetic Cu2+ ions are incorporated within the double perovskite material impacting the 133Cs NMR through a Fermi contact interaction. Finally, a comprehensive stress test of the material’s long-term (up to 365 days) thermal and moisture stability indicates excellent resistance to environmental exposure.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.210
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations225
Published2018
Admission routes2
Has abstractyes

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