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Record W2983902613 · doi:10.1021/acs.cgd.9b01477

Real-Time in Situ Monitoring of Particle and Structure Evolution in the Mechanochemical Synthesis of UiO-66 Metal–Organic Frameworks

2019· article· en· W2983902613 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCrystal Growth & Design · 2019
Typearticle
Languageen
FieldChemistry
TopicMetal-Organic Frameworks: Synthesis and Applications
Canadian institutionsMcGill University
FundersHrvatska Zaklada za ZnanostDefense Threat Reduction AgencySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaEuropean Cooperation in Science and Technology
KeywordsMechanochemistrySynchrotronCrystalliteMetal-organic frameworkDiffractionIn situParticle (ecology)Materials scienceNanotechnologyKineticsPowder diffractionParticle sizeX-ray crystallographyChemical engineeringMetalChemistryCrystallographyMetallurgyPhysical chemistryOrganic chemistryPhysicsEngineeringOptics

Abstract

fetched live from OpenAlex

While in situ synchrotron X-ray powder diffraction has revolutionized mechanistic studies of mechanochemistry and inspired the development of other real-time monitoring approaches, the full potential of such data remains unexploited, with most applications addressing only reaction kinetics. Focusing on UiO-type metal-organic frameworks (MOFs) as models, we now show how in-depth analysis of real-time diffraction data can provide insight into the evolution of both crystallographic structure and crystallite size, including the direct relation to the particle size of mechanochemically formed MOFs.

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.

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 score0.007
Threshold uncertainty score0.630

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 science0.0000.000
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 head0.010
GPT teacher head0.220
Teacher spread0.210 · 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