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Record W2131586424 · doi:10.1002/chem.201502980

Probing the Structural Stability of and Enhanced CO<sub>2</sub> Storage in MOF MIL‐68(In) under High Pressures by FTIR Spectroscopy

2015· article· en· W2131586424 on OpenAlexafffund
Yue Hu, Bin Lin, Peng He, Youyong Li, Yining Huang, Yang Song

Bibliographic record

VenueChemistry - A European Journal · 2015
Typearticle
Languageen
FieldChemistry
TopicMetal-Organic Frameworks: Synthesis and Applications
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsMetal-organic frameworkFourier transform infrared spectroscopyMaterials scienceStructural stabilityHigh pressureChemical engineeringNanotechnologySpectroscopyChemistryTopology (electrical circuits)Chemical physicsAdsorptionThermodynamicsPhysical chemistryPhysics

Abstract

fetched live from OpenAlex

The unique structural topology of metal-organic framework (MOF) MIL-68, featuring two types of channels with distinct pore sizes, makes it a promising candidate for application in gas storage and separation. In this study, the behavior of as-made and activated MIL-68(In) was investigated in a diamond-anvil cell under high pressure by in situ IR spectroscopy. The framework exhibits high stability under compression up to 9 GPa, whereas the bridging OH groups appear to be very sensitive to compression. Pressure-induced structural modifications were found to be completely reversible for as-made MIL-68(In) but irreversible for the activated framework. Moreover, the addition of Nujol as pressure-transmitting medium makes the framework more resilient to pressure. Finally, when loaded with CO2, the framework exhibited interesting differential binding affinities with CO2 in the hexagonal and triangular pores at different pressures. The pressure-enhanced CO2 storage behavior and the guest-host interaction mechanism between CO2 and the MOF framework were explored with the aid of Monte Carlo simulations. These studies demonstrated great potential for MIL-68(In) in gas-storage applications that require extreme loading pressures.

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 score0.720

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 integrity0.0000.001
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 head0.017
GPT teacher head0.239
Teacher spread0.221 · 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

Citations25
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueChemistry - A European JournalSame topicMetal-Organic Frameworks: Synthesis and ApplicationsFrench-language works237,207