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Structural Phase Transitions

2009· reference-entry· en· W1901905347 on OpenAlexaff
Kenneth R. Jeffrey, Glenn H. Penner

Bibliographic record

VenueEncyclopedia of Magnetic Resonance · 2009
Typereference-entry
Languageen
FieldPhysics and Astronomy
TopicNMR spectroscopy and applications
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPhase transitionSpectroscopyPhase (matter)Nuclear magnetic resonance spectroscopyRelaxation (psychology)Transverse relaxation-optimized spectroscopyFerroicsChemistryChemical physicsCrystallographyMaterials scienceQuantum phase transitionCondensed matter physicsFluorine-19 NMRPhysicsStereochemistryQuantum critical pointPsychology

Abstract

fetched live from OpenAlex

This article discusses the application of NMR spectroscopy to the study of structural phase transitions in solids. The various classifications of solid-solid phase transitions are presented. The changes in NMR lineshapes that accompany site symmetry changes during a phase transition are explained. The order-disorder and displacive phase transitions are described as well as how these two types of phase transitions can be distinguished by NMR spectroscopy. Changes in molecular and atomic dynamics frequently occur during structural phase changes. A description of how these changes affect NMR lineshapes and relaxation times is presented. A brief explanation of how Landau theory can be used to relate NMR spectroscopy and structural phase transitions is also presented.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.304
Teacher spread0.295 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2009
Admission routes1
Has abstractyes

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