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Record W4377226903 · doi:10.1021/acs.jpcc.3c01381

Theoretical Investigation of the Properties of Pd<sub>2</sub>Cu Intermetallics and CO<sub>2</sub> Hydrogenation to Ethanol Catalyzed on Pd<sub>2</sub>Cu (110)

2023· article· en· W4377226903 on OpenAlexaff
Hui Guo, Tao-Tao Shi, Ji-Tian Chen, Zhao‐Xu Chen

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2023
Typearticle
Languageen
FieldChemical Engineering
TopicCatalysts for Methane Reforming
Canadian institutionsUniversity of Toronto
FundersNational Natural Science Foundation of China
KeywordsIntermetallicHomonuclear moleculeCatalysisCrystal structureChemistryCrystallographyPhysical chemistryBond lengthMaterials scienceInorganic chemistryMoleculeOrganic chemistryAlloy

Abstract

fetched live from OpenAlex

Intermetallics or ordered alloys are catalytically more advantageous than solid solution alloys. The B 2 phase Pd 2 Cu intermetallics exhibit excellent catalytic properties for CO 2 hydrogenation to ethanol and other reactions. However, the crystal structure of Pd 2 Cu is unknown. With a self-coded program based on symmetry and atomic ratio, we combed and identified the Pd 2 Cu structure. The calculated (110) interlayer distance agrees with the experimental result acceptably. Lattice dynamics and AIMD simulations demonstrate the identified structure is stable. The calculated bond strength indicates that among the five types of bonds, the shorter Pd–Cu bond (S Pd–Cu ) plays the most important role in stabilizing the structure. Crystal orbital Hamilton population (COHP) analyses reveal that the 5s(Pd)–4p(Cu) interaction dominates the Pd–Cu bonding and the 5s(Pd)–5s(Pd) or the 4p(Cu)–4p(Cu) interaction contributes the most in the homonuclear Pd–Pd and Cu–Cu bonds. Investigations on the reaction mechanism proposed for CO 2 hydrogenation to CH 3 CH 2 OH show that CH 2 OH to CH 2 +OH is the key step determining the production of ethanol, followed by CO 2 +H to COOH and COOH to CO+OH.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.227
Teacher spread0.214 · 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 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

Citations10
Published2023
Admission routes1
Has abstractyes

Explore more

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