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Stable nature of [BH4]− ions in deliquescence thin-film NaBH4 and humidity control of their decomposition toward hydrogen supply and storage application

2024· article· en· W4399660475 on OpenAlexfundno aff
Takumi Sato, K. Sasaki, Kenichi Kaminaga, Hibiki Murakami, Shingo Maruyama, Yuji Matsumoto

Bibliographic record

VenueInternational Journal of Hydrogen Energy · 2024
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen Storage and Materials
Canadian institutionsnot available
FundersInstitute for Materials Research, Tohoku UniversityTohoku UniversityJapan Society for the Promotion of ScienceRare Disease Foundation
KeywordsHydrogen storageDecompositionHumidityHydrogenIonMaterials scienceChemical engineeringInorganic chemistryChemistryThermodynamicsOrganic chemistryEngineeringPhysics

Abstract

fetched live from OpenAlex

In this study, we investigated the deliquescence of NaBH 4 thin films under atmospheric conditions toward their hydrogen supply application. Upon exposed to air, the film deliquesced along with generating hydrogen due to the decomposition of [BH 4 ] - ions, but the decomposition rate was slow enough for a sizable amount of [BH 4 ] - ions remained stable in the deliquesced film. As a result, a reversible deliquescence-recrystallization cycle in the NaBH 4 thin film could be achieved through control of humidity. Molecular dynamics simulations suggested that Na + and [BH 4 ] - ions tended to neighbor each other with almost the same intra-distance as that in the crystal. A kind of such local ordered structures in deliquesced NaBH 4 may prevent an excess hydration and subsequent decomposition of [BH 4 ] - ions and is responsible for the stability of [BH 4 ] - ions, enabling the reversible deliquescence-recrystallization cycle. These combined experimental and theoretical insights offer new perspectives on controlling hydrogen release from borohydrides based on humidity conditions in the thin film form. • Deliquescence of NaBH 4 thin films on Si (100) substrates explored. • Raman spectra confirm prevalence of [BH 4 ] - ions in deliquesced state. • In-situ XRD reveals reversible recrystallization and deliquescence cycle. • MD simulations suggest local molecular-like structure prevents excess hydration. • Insights gained into controlled hydrogen release, offering novel borohydride applications.

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 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 score0.013
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.007
GPT teacher head0.263
Teacher spread0.256 · 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.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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