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Record W4378471175 · doi:10.1021/prechem.3c00022

Precise Synthesis at the Atomic Scale

2023· review· en· W4378471175 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

VenuePrecision Chemistry · 2023
Typereview
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsUniversity of Toronto
FundersNational Natural Science Foundation of ChinaBanting Research Foundation
KeywordsAtomic unitsCatalysisAtom (system on chip)NanotechnologyRational designMaterials scienceComputer scienceChemistryPhysicsOrganic chemistryQuantum mechanics

Abstract

fetched live from OpenAlex

Precise synthesis at the atomic scale is a highly desirable and controllable route for the preparation of heterogeneous catalysts with the desired structure and properties, which promotes the rational design of highly efficient catalysts and facilitates the understanding of structure-properties relationship. The precise construction of the active sites of the catalysts provides important opportunities for atomic insight into the correlation between structure and catalytic performance. In this review, the atomic-level tuning strategies for the precise synthesis of heterogeneous catalysts are summarized with the emphasis on the precise control of the structure of active sites, including single atom sites, dual atom sites and complex active sites. Furthermore, we illustrate the crucial role of atomic-level regulation of structure in determining the catalytic performance by providing typical catalysis examples in different reactions. In the end, some perspectives on the further development of precise synthesis of catalysts at the atomic level are presented.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.847
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0040.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.017

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 head0.050
GPT teacher head0.341
Teacher spread0.290 · 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