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Record W2316913049 · doi:10.1021/ct100389d

Stability of Hydrocarbons of the Polyhedrane Family Containing Bridged CH Groups: A Case of Failure of the Colle−Salvetti Correlation Density Functionals

2010· article· en· W2316913049 on OpenAlexaff
Grigory A. Shamov, Georg Schreckenbach, Peter H. M. Budzelaar

Bibliographic record

VenueJournal of Chemical Theory and Computation · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDensity functional theoryDispersion (optics)Hybrid functionalRange (aeronautics)ChemistryThermodynamicsComputational chemistryMolecular physicsPhysicsMaterials scienceQuantum mechanics

Abstract

fetched live from OpenAlex

DFT-computed energies of polyhedric hydrocarbons, such as dodecahedrane C20H20, its smaller analogs C16H16 and C12H12, and the larger C24H24, estimated in comparison with corresponding isomeric hydrocarbons, vary widely with the choice of the density functional. In particular, large discrepancies were observed with the functionals that are based on the B88 (as well as G96, B86) exchange and the LYP (as well as OP) correlation parts. The problem is not related to the presence of the smaller cyclopropane rings in the C12H12 polyhedrane, for its hydrogenated products do show similar errors; moreover, the larger dodecahedrane that is free from the Bayer strain shows a similar trend. DFT-D corrections that are very useful in fixing long- and medium-range correlation issues with GGA DFT do not help in this case either. We show that these errors stem from the B88 (G96, B86) exchange functionals and are not compensated by Colle-Salvetti-based GGA correlation functionals such as LYP, OP, TCA, etc. However, they can be corrected by the PBE correlation functional based on the PW92 uniform electron gas (UEG) parametrization. Range-separated hybrids (Iikura and Hirao's LC-BOP, LC-BLYP) perform much better than the parent GGAs. Comparisons of polyhedranes with a well-studied system of similar size, the set of CnHn cyclophanes, reveal a completely different performance for the latter-for instance, RHF results are the poorest, and LC-type functionals do not give any improvement, but dispersion-corrected BLYP-D performs very well. We conclude that, while for polyhedranes medium-range delocalization errors from exchange dominate, for cyclophanes, the correlation/overlap-dispersion interactions are more important. The OPTX exchange functional shows significantly lower errors compared to B88 and G96; its combinations like OLYP and especially KT3 perform well for both test sets. The OPTX-based double hybrid, O2PLYP, also outperforms the corresponding B88-based B2PLYP functional for polyhedranes. Our computations also suggest that the (CH)16 and (CH)24 polyhedranes could be possible synthetic targets.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.241
Teacher spread0.233 · 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 designSimulation or modeling
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

Citations15
Published2010
Admission routes1
Has abstractyes

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