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Record W1975931702 · doi:10.1063/1.1527057

Dramatic relativistic effects in atomization energy and volatility of the superheavy Hassium tetroxide and OsO4

2002· article· en· W1975931702 on OpenAlexaff
Gulzari Malli

Bibliographic record

VenueThe Journal of Chemical Physics · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsSimon Fraser University
FundersUniversity of Ghana Business SchoolU.S. Department of Energy
KeywordsWave functionRelativistic quantum chemistryChemistryAtomic physicsAb initioIonic bondingComputational chemistryPhysicsIonOrganic chemistry

Abstract

fetched live from OpenAlex

Ab initio all-electron relativistic Dirac–Fock (DF) and nonrelativistic (NR) Hartree–Fock (HF) self-consistent field (SCF) molecular calculations are reported for the tetrahedral superheavy hassium tetroxide (HsO4) and its lighter congener OsO4 at various M–O (M=Hs,Os) bond lengths. Our relativistic DF and NR HF wave functions predict the ground state of the tetrahedral HsO4 and OsO4 to be bound and the predicted relativistic (nonrelativistic) atomization energy (Ae) for HsO4 and OsO4 is 15.35 (6.83) and 10.32 (5.59) eV, respectively. Relativistic effects lead to dramatic increase of ∼225% and 185% in the predicted Ae of HsO4 and OsO4, respectively. Mulliken population analysis of our relativistic DF (NR HF) wave functions for the HsO4 and OsO4 yields a charge on Hs of +1.06 (+1.14) and Os of +0.88 (+1.94), respectively. Our DF SCF wave function, in contrast to our NR HF wave function, predicts HsO4 to be more ionic, i.e., less volatile than OsO4 and our prediction is in agreement with the recent experimental work for the superheavy element hassium (http://enews.lbl.gov/Science-Articles/Archive/108-chemistry.html, dated 4 June 2001).

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 score0.007

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 science0.0010.000
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 head0.006
GPT teacher head0.202
Teacher spread0.195 · 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

Citations14
Published2002
Admission routes1
Has abstractyes

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