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Record W4243295516 · doi:10.1002/ange.201507176

Energy Migration Upconversion in Manganese(II)‐Doped Nanoparticles

2015· article· en· W4243295516 on OpenAlexaff
Xiyan Li, Xiaowang Liu, Daniel M. Chevrier, Xian Qin, Xiaoji Xie, Shuyan Song, Hongjie Zhang, Peng Zhang, Xiaogang Liu

Bibliographic record

VenueAngewandte Chemie · 2015
Typearticle
Languageen
FieldMaterials Science
TopicLuminescence Properties of Advanced Materials
Canadian institutionsDalhousie University
FundersMinistry of Education - SingaporeNational Natural Science Foundation of ChinaAgency for Science, Technology and Research
KeywordsPhoton upconversionLanthanideMaterials scienceExcitationDopingNanoparticleIonManganeseAnalytical Chemistry (journal)NanotechnologyChemistryOptoelectronics

Abstract

fetched live from OpenAlex

Abstract We report the synthesis and characterization of cubic NaGdF 4 :Yb/Tm@NaGdF 4 :Mn core–shell structures. By taking advantage of energy transfer through Yb→Tm→Gd→Mn in these core–shell nanoparticles, we have realized upconversion emission of Mn 2+ at room temperature in lanthanide tetrafluoride based host lattices. The upconverted Mn 2+ emission, enabled by trapping the excitation energy through a Gd 3+ lattice, was validated by the observation of a decreased lifetime from 941 to 532 μs in the emission of Gd 3+ at 310 nm ( 6 P 7/2 → 8 S 7/2 ). This multiphoton upconversion process can be further enhanced under pulsed laser excitation at high power densities. Both experimental and theoretical studies provide evidence for Mn 2+ doping in the lanthanide‐based host lattice arising from the formation of F − vacancies around Mn 2+ ions to maintain charge neutrality in the shell layer.

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 score0.006
Threshold uncertainty score0.518

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 communication0.0000.001
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 head0.028
GPT teacher head0.242
Teacher spread0.214 · 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

Citations25
Published2015
Admission routes1
Has abstractyes

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