MétaCan
Menu
Back to cohort

Metal‐Organic Frameworks: Mechanochemical Synthesis Strategies

2014· other· en· W1555799530 on OpenAlexafffund
Tomislav Friščić

Bibliographic record

VenueEncyclopedia of Inorganic and Bioinorganic Chemistry · 2014
Typeother
Languageen
FieldChemistry
TopicMetal-Organic Frameworks: Synthesis and Applications
Canadian institutionsMcGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsMechanosynthesisMechanochemistryNanotechnologyPorosityMetal-organic frameworkMaterials scienceCharacterization (materials science)PolymerChemistryOrganic chemistryMetallurgyAdsorptionBall millComposite material

Abstract

fetched live from OpenAlex

Abstract This contribution provides a systematic overview of the recent developments in the use of mechanochemical synthesis, i.e., chemical synthesis aided or induced by mechanical force, for making one‐, two‐, and three‐dimensional coordination polymers, including porous metal–organic frameworks (MOFs). The overview is organized into sections that address experimental mechanochemical techniques, types of chemical reactions utilized for the mechanosynthesis of coordination polymers, structural characterization of mechanochemical products, as well as synthetic strategies and reaction mechanisms underlying the mechanochemical assembly of porous MOF structures. The presented examples reveal mechanochemistry as a reliable and natural way for conducting the synthesis of porous MOFs in a rapid, clean, and efficient fashion, as well as a new tool to screen for new MOF topologies and probe the fundamental structure templating factors controlling their assembly.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.006
GPT teacher head0.211
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), 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

Citations37
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueEncyclopedia of Inorganic and Bioinorganic ChemistrySame topicMetal-Organic Frameworks: Synthesis and ApplicationsFrench-language works237,207