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Sulfur–Nitrogen Compounds

2005· other· en· W1859355651 on OpenAlex
T. Chivers

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEncyclopedia of Inorganic and Bioinorganic Chemistry · 2005
Typeother
Languageen
FieldChemistry
TopicChemical Reactions and Mechanisms
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsChemistrySulfurMoleculeBenzeneReactivity (psychology)NitrogenCrystallographyComputational chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The quintessential sulfur–nitrogen compound, tetrasulfur tetranitride, S 4 N 4 , was first detected in 1835, just 10 years after the discovery of benzene. Its unusual structure, like that of benzene, was not elucidated for over 100 years. The application of diffraction techniques revealed the unusual cage arrangement with two weak cross‐ring sulfur–sulfur interactions. The details of the electronic structure of this fascinating molecule are still a matter for debate today. The polymer, (SN) x , was first obtained in 1910 and its metallic character was noted. However, it was the discovery in 1973 that a polymer comprising only nonmetallic elements behaves as a superconductor at 0.26 K that sparked widespread interest in sulfur–nitrogen (SN) chemistry. A year later it was proposed that planar SN heterocycles belong to a class of ‘ electron‐rich aromatics ’ that conform to the well‐known Hückel (4n + 2)π‐electron rule of organic chemistry. This suggestion, which was based on simple electron‐counting concepts, provided an additional impetus for both experimental and theoretical investigations of SN systems. In the past thirty years, the combination of structural studies, primarily through X‐ray crystallography, spectroscopic information, and molecular orbital calculations has provided reasonable rationalizations of the structure–reactivity relationships of these fascinating compounds. Interfaces with other areas of chemistry, for example, materials chemistry, organic synthesis, coordination chemistry, and biochemistry have been established and are under active investigation. For example, in the area of solid‐state chemistry, materials with unique magnetic and conducting properties that depend on intermolecular sulfur–nitrogen interactions between radical species have been designed. These new materials have potential applications in the construction of organic data recording devices. At the other end of the chemical spectrum, S ‐nitrosothiols (RSNO) have been shown to be important species in the storage and transport of nitric oxide. As NO donors, these SN compounds have potential medical applications in the treatment of blood circulation problems. This contribution begins with a short discussion of structure and bonding in cyclic SN species. This is followed by an overview of the various physical methods that are used to characterize SN compounds. The subsequent sections deal with specific classes of SN compounds starting with binary species, which include cations and anions as well as neutral molecules. The next sections are concerned with two important classes of reagents, SN halides and SN oxides. Heterocyclothiazenes, in which a sulfur atom in an SN ring is replaced by another atom, most commonly carbon, phosphorus, or a transition metal, constitute a continually expanding area of investigation as reflected in the relatively large section on this topic. Sulfanuric ring systems, which involve sulfur in the +VI oxidation state, have been known for many years and recent interest has revolved around polymers involving the NS(O)R repeating unit, which are isoelectronic with the well‐known polyphosphazenes. The next section describes the chemistry of cyclic sulfur imides, that are structurally related to the cyclic sulfur allotropes by the replacement of one or more sulfur atoms by an imido (NR) group. In the final sections, the unusual properties of SN chains, including the unique polymer (SN) x are discussed.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.418
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0650.000

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 spread0.198 · 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