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Record W1565801211 · doi:10.1007/1-4020-2112-7_6

Nanostructured and Nanocomposite Light Metal-Based Compounds for Hydrogen Storage

2006· book-chapter· en· W1565801211 on OpenAlexaff
Robert A. Varin, Liren Guo, Songlin Li, Chun Chiu, A. Całka

Bibliographic record

VenueKluwer Academic Publishers eBooks · 2006
Typebook-chapter
Languageen
FieldMaterials Science
TopicHydrogen Storage and Materials
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNanocrystalline materialBall millHydrideMaterials scienceHydrogen storageNanocompositeAmorphous solidShearing (physics)Chemical engineeringNanocrystalMetallurgyHydrogenMetalDiffractionNanotechnologyCrystallographyComposite materialChemistryAlloyOrganic chemistry

Abstract

fetched live from OpenAlex

The present paper is an overview of our recent results on the nanostructural processing and synthesis of complex hydrides in the Mg-M-H (M= Co, Mn, B and Fe) systems by using Controlled Reactive Mechanical Alloying (CRMA) and Milling (CMM) in the magneto-mill Uni-Ball-Mill 5. Under shearing mode of milling the principal nanocrystalline hydride being created in the 2Mg-Co, 3Mg-Mn and Mg-2B mixtures is β-MgH2 whose nanograin size can be immensely reduced to the range of ∼10–5 nm. For the Mg-2B mixture X-ray diffraction seems to provide some evidence for the presence of a small amount of nanostructured Mg(BH4)2. In the 2Mg-Fe mixture amorphization of elemental Mg and formation of amorphous MgH0.6–1.1 hydride is observed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.523
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
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 head0.014
GPT teacher head0.229
Teacher spread0.215 · 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
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

Citations2
Published2006
Admission routes1
Has abstractyes

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