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A New Ternary Phase, Called LaCuMg<sub>8</sub>, for Solid Hydrogen Storage. Influence of Ball Milling and Cold Rolling

2011· article· en· W2025501295 on OpenAlexaff
R. Boidin, Samuel Couillaud, Etienne Gaudin, Jacques Huot, Jean‐Louis Bobet

Bibliographic record

VenueDiffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena · 2011
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen Storage and Materials
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsMaterials scienceHydrogen storageBall millHydrogenDesorptionTernary operationMagnesiumChemical engineeringSolid solutionMetallurgyAnalytical Chemistry (journal)Physical chemistryAlloyChemistryAdsorptionOrganic chemistry

Abstract

fetched live from OpenAlex

Recently, our group found a new phase with a composition close to LaCuMg8. This compound crystallizes in the La2Mg17 structure type. A similar hydrogen sorption behavior was observed for both La2Mg17 and LaCuMg8 compounds with a two steps mechanism. During the first step, LaCuMg8 absorbs around 3wt% with a low kinetic; the decomposition into LaH3, MgH2 and Cu2Mg is also observed. This first step is considered as the activation process. The second step consists in the reversible desorption/absorption of hydrogen by magnesium and also the reversible transformation of Mg2Cu into MgCu2. In order to improve the activation process, the influence of ball milling and cold rolling was tested. LaCuMg8 can not be synthesized by ball milling starting from elemental powders (LaCu + 8Mg). However, cold rolling on as-cast LaCuMg8 compound improves the activation. Indeed, more than 3%wt is absorbed after 1 hour which is 20 times faster than LaCuMg8 as cast. An effect of CuMg2, induced by cold rolling was proposed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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)0.0030.001

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 head0.045
GPT teacher head0.298
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2011
Admission routes1
Has abstractyes

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