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Record W4405725790 · doi:10.1107/s2053273324094348

Crystal engineering of radical–radical cocrystals

2024· article· en· W4405725790 on OpenAlexfundno aff
Nadia T. Stephaniuk, Asli M. Wehelie, Lara K. Watanabe, Jeremy M. Rawson

Bibliographic record

VenueActa Crystallographica Section A Foundations and Advances · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCompute Canada
KeywordsCrystal engineeringRadicalChemistryCrystallographyOrganic chemistryCrystal structureSupramolecular chemistry

Abstract

fetched live from OpenAlex

In 1928 Heisenberg proposed that bulk (ferro)magnetic order would only ever be achieved in systems containing heavy atoms (i.e.metals, their oxides, nitrides etc) [1].Indeed, the first observation of bulk ferromagnetism in an organic radical was not observed until 1991, albeit at 0.6 K [2].Since then approaches to develop new organic magnets with higher ordering temperatures have been explored.In 1993 Peter Day suggested that magnetic ordering in organic materials would not occur above room temperature [3] and, while ordering temperatures up to 70 K have been achieved [4], radical magnetism at room temperature continues to be elusive.Our research has recently focussed on the cocrystallization of radicals to afford radical-radical cocrystals as potential routes to organic ferrimagnets [5,6].The current study explores the cocrystallization of dithiadiazolyl (DTDA, E = S, Fig. 1) and diselenadiazolyl (DSDA, E = Se, Fig 1) radicals with TEMPONE [6].This presentation reports recent experimental and computational studies on the relative energetics of DTDAO-N< vs DTDAO=C< interactions, reflected in competing regions of O d-for TEMPONE (Fig. 1(inset)) [7].Figure 1.Reaction of the DTDA and DSDA radicals with TEMPONE afford the 2:1 cocrystals [DTDA]2[TEMPONE] and [DSDA]2[TEMPONE]; inset: molecular electrostatic potential for TEMPONE.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.994
Threshold uncertainty score0.999

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)0.0020.000

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 head0.015
GPT teacher head0.238
Teacher spread0.223 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueActa Crystallographica Section A Foundations and AdvancesSame topicCultural Heritage Materials AnalysisFrench-language works237,207