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Record W3038631113 · doi:10.1088/2053-1583/aba332

Resonant energy transfer between hexagonal boron nitride quantum emitters and atomically layered transition metal dichalcogenides

2020· article· en· W3038631113 on OpenAlexaff
Chi Li, Zai‐Quan Xu, Noah Mendelson, Mehran Kianinia, Yi Wan, Milos Toth, Igor Aharonovich, Carlo Bradac

Bibliographic record

Venue2D Materials · 2020
Typearticle
Languageen
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsTrent University
Fundersnot available
KeywordsMonolayerExfoliation jointHexagonal boron nitrideTransition metalEnergy transferMaterials scienceAlloyBoronNitrideBoron nitrideEngineering physicsNanotechnologyMetallurgyGraphenePhysicsChemistryLayer (electronics)Catalysis

Abstract

fetched live from OpenAlex

Abstract Van der Waals heterostructures offer a unique platform to investigate light matter interaction at the nanoscale. In this work, we explore resonant energy transfer processes between van der Waals materials from two fundamentally different systems: single-photon emitters in two-dimensional hexagonal boron nitride and excitons in transition metal dichalcogenide monolayers. We study the photodynamics between these two systems by performing time-resolved fluorescence spectroscopy. Our results show that colour centres in hexagonal boron nitride do interact with transition metal dichalcogenide excitons and provide important insights into harnessing these interactions in van der Waals heterostructures for advanced nanophotonic devices.

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 score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.025
GPT teacher head0.229
Teacher spread0.204 · 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

Citations12
Published2020
Admission routes1
Has abstractyes

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