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Record W4401407438 · doi:10.1021/acsnano.4c02057

Surface Structure of Lecithin-Capped Cesium Lead Halide Perovskite Nanocrystals Using Solid-State and Dynamic Nuclear Polarization NMR Spectroscopy

2024· article· en· W4401407438 on OpenAlexafffund
Diganta Sarkar, Andriy Stelmakh, Abhoy Karmakar, Marcel Aebli, Franziska Krieg, Amit Bhattacharya, Shane Pawsey, Maksym V. Kovalenko, Vladimir K. Michaelis

Bibliographic record

VenueACS Nano · 2024
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsUniversity of Alberta
FundersEuropean Research CouncilMinistry of Economic Development and Trade, Government of AlbertaAlberta InnovatesHORIZON EUROPE European Innovation CouncilTechnische Universität MünchenCanada Research ChairsCanada Foundation for InnovationUniversity of AlbertaNatural Sciences and Engineering Research Council of CanadaGovernment of Alberta
KeywordsHalideNanocrystalColloidPerovskite (structure)CaesiumMaterials scienceSolid-state nuclear magnetic resonanceSpectroscopyNuclear magnetic resonance spectroscopyNanoparticleInorganic chemistryChemical engineeringNanotechnologyChemistryCrystallographyPhysical chemistryOrganic chemistryNuclear magnetic resonance

Abstract

fetched live from OpenAlex

Inorganic colloidal cesium lead halide perovskite nanocrystals (NCs) encapsulated by surface capping ligands exhibit tremendous potential in optoelectronic applications, with their surface structure playing a pivotal role in enhancing their photophysical properties. Soy lecithin, a tightly binding zwitterionic surface-capping ligand, has recently facilitated the high-yield synthesis of stable ultraconcentrated and ultradilute colloids of CsPbX 3 NCs, unlocking a myriad of potential device applications. However, the atomic-level understanding of the ligand-terminated surface structure remains uncertain. Herein, we use a versatile solid-state nuclear magnetic resonance (NMR) spectroscopic approach, in combination with dynamic nuclear polarization (DNP) and atomistic molecular dynamics (MD) simulations, to explore the effect of lecithin on the core-to-surface structures of CsPbX 3 (X = Cl or Br) perovskites, sized from micron to nanoscale. Surface-selective (cross-polarization, CP) solid-state and DNP NMR ( 133 Cs and 207 Pb) methods were used to differentiate the unique surface and core chemical environments, while the head-groups {trimethylammonium [–N(CH 3 ) 3 + ] and phosphate (–PO 4 – )} of lecithin were assigned via 1 H, 13 C, and 31 P NMR spectroscopy. A direct approach to determining the surface structure by capitalizing on the unique heteronuclear dipolar couplings between the lecithin ligand ( 1 H and 31 P) and the surface of the CsPbCl 3 NCs ( 133 Cs and 207 Pb) is demonstrated. The 1 H– 133 Cs heteronuclear correlation (HETCOR) DNP NMR indicates an abundance of Cs on the NC surface and an intimate proximity of the –N(CH 3 ) 3 + groups to the surface and subsurface 133 Cs atoms, supported by 1 H{ 133 Cs} rotational-echo double-resonance (REDOR) NMR spectroscopy. Moreover, the 1 H– 31 P{ 207 Pb} CP REDOR dephasing curve provides average internuclear distance information that allows assessment of –PO 4 – groups binding to the subsurface Pb atoms. Atomistic MD simulations of ligand-capped CsPbCl 3 surfaces aid in the interpretation of this information and suggest that ligand –N(CH 3 ) 3 + and –PO 4 – head-groups substitute Cs + and Cl – ions, respectively, at the CsCl-terminated surface of the NCs. These detailed atomistic insights into surface structures can further guide the engineering of various relevant surface-capping zwitterionic ligands for diverse metal halide perovskite NCs.

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 categoriesnone
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 score0.110
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.239
Teacher spread0.233 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations16
Published2024
Admission routes2
Has abstractyes

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