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Record W4404821504 · doi:10.3390/catal14120868

Tuning of Acid/Base Functionalities in the MgAlO System for Ethanol Upgrade to n-Butanol

2024· article· en· W4404821504 on OpenAlex
Adrian M. Hucal, Wei Tian, Pierre-Christof Ascherl, José E. Herrera

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.

Bibliographic record

VenueCatalysts · 2024
Typearticle
Languageen
FieldMaterials Science
TopicLayered Double Hydroxides Synthesis and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsUpgradeChemistryButanolBase (topology)Computer scienceEthanolOrganic chemistryOperating systemMathematics

Abstract

fetched live from OpenAlex

Hydrotalcite-derived mixed metal oxides (MgAlO)-based catalysts are used for the catalytic upgrade of ethanol to butanol which adjust the catalyst structure and number of relevant active sites through changes in the Mg/Al ratio. By performing a series of reaction activity tests, kinetic experiments, FTIR characterization, CO2-TGA analysis, and in situ active center titration, qualitative and quantitative relationships between catalyst structure and catalytic performance are obtained. We found the MgAlO mixed metal oxide system can catalyze the ethanol-to-butanol process through a Guerbet reaction pathway, though the process is kinetically limited. The data suggest that strong basic centers hosted in Mg-O sites are the most catalytically relevant function in the MgAlO material, as they control enolate formation, which is likely the rate limiting step of the aldol condensation stage in the Guerbet reaction.

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)0.001
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 score0.036
Threshold uncertainty score0.261

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 integrity0.0000.000
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 head0.036
GPT teacher head0.278
Teacher spread0.242 · 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