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Record W7116790158 · doi:10.1021/acs.chemrev.5c00531

Paramagnetic Transition Metal Hydride Complexes

2025· article· en· W7116790158 on OpenAlexafffund
Adi Fishkin, Robert H. Morris

Bibliographic record

VenueChemical Reviews · 2025
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsParamagnetismHydrideDiamagnetismStoichiometryHyperfine structureOctahedronAntiferromagnetismTransition metalMagnetic moment

Abstract

fetched live from OpenAlex

The structures, bonding, energetics, preparation, characterization, and reactions, both stoichiometric and catalytic, are categorized for all paramagnetic hydride complexes (PHC) with terminal hydrides and then bridging hydrides: 58 and 177 crystallographically characterized, respectively, including 49 mixed-valence complexes. Common methods of synthesis are documented and trends in PHC properties are revealed. The tabulated experimentally and theoretical bond energies indicate that PHC with similar ligands have weaker M-H bonds than diamagnetic hydrides. Magnetometry- and EPR-related results are tabulated and interpreted in terms of the bonding. Most complexes with bridging hydrides have reduced magnetic moments due to antiferromagnetic coupling. Hyperfine coupling constants range from small for the Ni III -H-Fe II Ni a C state of [NiFe] and the Fe-H-Fe E 4 (4H) state of [MoFe] nitrogenase to 293 MHz (for matrix-isolated NH(CO) 3) depending on the orbitals involved in bonding and the Fermi contact term. Hydride 1 H NMR resonances were detected for ten compounds with populated paramagnetic states. Reactions featured include oxidation, proton loss, hydrogen atom transfer, hydrogen loss and substitution, hydride transfer and reduction. Brief details of more than 40 homogeneous catalytic processes involving suspected PHC are provided. Since PHC are mainly found for earth-abundant 3 d metals, there continues to be much interest in their properties and uses in sustainable catalysis.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0250.000

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 head0.020
GPT teacher head0.265
Teacher spread0.244 · 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.

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

Citations2
Published2025
Admission routes2
Has abstractyes

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