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Thermodynamic Properties of Mg<sub>2.0</sub>Ni Hydrides

2000· article· en· W2246315592 on OpenAlexaff
Toshiro Kuji, Hiroaki Nakano, Tatsuhiko Aizawa

Bibliographic record

VenueMaterials science forum · 2000
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen Storage and Materials
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials sciencePhysical chemistryMetallurgyThermodynamicsChemistryPhysics

Abstract

fetched live from OpenAlex

Thermodynamic properties of hydrides of Mg2.0Ni alloy produced by bulk mechanical alloying were determined from the pressure-composition (PC) isotherms over the temperatures from 623 to 423K In-situ X-ray diffraction studies indicated the hydride formation is accompanied with structural change of Mg2 0Ni host lattice. The van't Hoff plots for the plateau pressures on isotherms clearly indicated the existence of the structural transformation of the hydride at around 525K It is believed that the transformation corresponds to the order/disorder transformation in the hydrogen sublattice In this paper the difference in the thermodynamic properties between the high and low temperature hydrides will be discussed in relation to the hydrogen order/disorder phenomena presumed by studies on structure of Mg2.0Ni hydrides.

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)0.003
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 categoriesInsufficient payload (model declined to judge)
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 score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2000
Admission routes1
Has abstractyes

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