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Record W2489205831 · doi:10.1021/bk-2002-0810.ch020

Single Molecule Absolute Chirality Determination, Isomerization, and Asymmetric Induction at a Silicon Surface

2002· book-chapter· en· W2489205831 on OpenAlexaff
Douglas J. Moffatt, Gregory P. Lopinski, D. D. M. Wayner, Robert A. Wolkow

Bibliographic record

VenueACS symposium series · 2002
Typebook-chapter
Languageen
FieldEngineering
TopicSurface Chemistry and Catalysis
Canadian institutionsSteacie Institute for Molecular Sciences
Fundersnot available
KeywordsIsomerizationChemistryStereoselectivityMoleculeStereospecificityAbsolute configurationCycloadditionChirality (physics)SiliconStereochemistryComputational chemistryPhotochemistryCrystallographyCatalysisOrganic chemistryPhysicsChiral symmetry

Abstract

fetched live from OpenAlex

STM is used to identify and discriminate between adsorbed molecules differing only in the geometric configuration of methyl groups. The absolute configuration (either R or S) for each newly formed asymmetric centre is identified. The degree of stereoselectivity of the reaction of 2-butene with the Si(100) surface is also been studied. A small degree of isomerization is observed, indicating that the reaction, although 98% stereoselective, is not stereospecific. This implies that the [2+2] cycloaddition reactions of alkenes on this surface proceed in a step-wise manner with the time scale between formation of the two Si-C bonds on the order of a few picoseconds. We show the first example of an enantiospecific reaction with a silicon surface. 1S(+)-3-carene adsorption on the Si(100) surface results in the formation of a chiral surface.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.184
Teacher spread0.173 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2002
Admission routes1
Has abstractyes

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