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Record W4396223603 · doi:10.1039/d4ta00492b

Ultralow detection limit and high sensitivity X-ray detector of high-quality MAPbBr<sub>3</sub> perovskite single crystals

2024· article· en· W4396223603 on OpenAlexaff
Dong Liu, Xue Sun, Li Jiang, Xianyuan Jiang, Hao Chen, Fucai Cui, Guodong Zhang, Yong Wang, Ying‐Bo Lu, Zhongchen Wu, Zhijun Ning, Xutang Tao

Bibliographic record

VenueJournal of Materials Chemistry A · 2024
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsUniversity of Toronto
FundersNational Key Research and Development Program of ChinaNatural Science Foundation of Shandong ProvinceNational Natural Science Foundation of China
KeywordsDetection limitDetectorSensitivity (control systems)Limit (mathematics)FabricationMaterials scienceQuality (philosophy)CrystallizationX-ray detectorEvaporationPerovskite (structure)OptoelectronicsVacuum evaporationX-rayOpticsPhysicsNanotechnologyCrystallographyChemistryThin filmElectronic engineeringEngineeringMathematics

Abstract

fetched live from OpenAlex

High-quality MAPbBr 3 single crystals were successfully synthesized using the vacuum evaporation crystallization method for the fabrication of X-ray detectors, demonstrating an ultra-low detection limit and exceptional sensitivity.

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)0.001
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 score0.003
Threshold uncertainty score0.812

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.208
Teacher spread0.199 · 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

Citations24
Published2024
Admission routes1
Has abstractyes

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