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Record W4353087026 · doi:10.26434/chemrxiv-2023-j0rj6

N-heteroacenes as an organic gain medium for room temperature masers

2023· preprint· en· W4353087026 on OpenAlexaff
Max Attwood, Xiaotian Xu, Michael Newns, Zhu Meng, Rebecca A. Ingle, Hao Wu, Xi Chen, Weidong Xu, Wern Ng, Temitope Abiola, Vasilos Stavros, Mark Oxborrow

Bibliographic record

VenueChemRxiv · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicMechanical and Optical Resonators
Canadian institutionsUniversity of Toronto
FundersEngineering and Physical Sciences Research Council
KeywordsMaserIntersystem crossingTetraceneMicrowaveMaterials scienceOLEDChemical physicsInertOptoelectronicsRelaxation (psychology)MuoniumPhotochemistryChemistryMoleculeAtomic physicsSinglet stateNanotechnologyPhysicsExcited stateOpticsOrganic chemistryHyperfine structure

Abstract

fetched live from OpenAlex

The development of future quantum devices such as the maser, i.e., the microwave analog the laser, could be well-served by exploration of chemically tuneable organic materials. Current iterations of room temperature organic solid-state masers are composed of an inert host material that is doped with a spin-active molecule. In this work, we have systematically modulated the structure of three nitrogen-substituted tetracene derivatives to augment their photoexcited spin dynamics and then evaluated their potential as novel maser gain media. To facilitate these investigations, we adopted an organic glass former, 1,3,5-tri(1-naphthyl)benzene (1-TNB) to act a universal host. These chemical modifications impacted the rates of intersystem crossing, triplet spin polarisation, triplet decay and spin-lattice relaxation, leading to significant consequences on the conditions required to surpass the maser threshold.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.280
Teacher spread0.255 · 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 designTheoretical or conceptual
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

Citations2
Published2023
Admission routes1
Has abstractyes

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