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Record W4212851399 · doi:10.1021/acs.chemmater.2c00089

Probing the Thermodynamics of Moiré Patterns in Molecular Self-Assembly at the Liquid–Solid Interface

2022· article· en· W4212851399 on OpenAlexafffund
Daling Cui, Navathej Preetha Genesh, Oliver MacLean, Penghui Ji, Jennifer MacLeod, Maryam Ebrahimi, Andrey V. Lunchev, Andrew C. Grimsdale, Dmitrii F. Perepichka, Federico Rosei

Bibliographic record

VenueChemistry of Materials · 2022
Typearticle
Languageen
FieldEngineering
TopicSurface Chemistry and Catalysis
Canadian institutionsLakehead UniversityMcGill UniversityInstitut National de la Recherche Scientifique
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsScanning tunneling microscopeMoiré patternChemical physicsMaterials scienceLattice (music)CrystallographyNanotechnologyChemistryOpticsPhysics

Abstract

fetched live from OpenAlex

Three types of moiré patterns, denoted as α-, β-, and γ-patterns, were observed in the molecular self-assembly of 1,3,5-tris(4-cyanophenyl)benzene (TCPB) on HOPG. Their relative stability was studied through thermally induced phase transitions monitored in situ by scanning tunneling microscopy. The incommensurate γ-pattern is thermodynamically more stable than the commensurate α- and β-patterns. The preference in the γ-pattern was explained by a static distortion wave, which was exclusively observed in this pattern. Through the lateral relaxation of TCPB lattice, the free energy of the γ-pattern can be reduced with respect to that of the α- and β-moiré patterns. This investigation provides insights into the thermodynamics of surface-confined supramolecular systems where the molecular lattice is incongruent with the substrate.

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)0.000
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 score0.054
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.005
GPT teacher head0.202
Teacher spread0.197 · 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

Citations6
Published2022
Admission routes2
Has abstractyes

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