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A Deeper Understanding of H<sub>2</sub> Evolution Entirely from Water via Diborane Hydrolysis

2023· article· en· W4319296673 on OpenAlexaff
Xiang Liu, Xinyu Zhang, Gaixia Zhang, Shuhui Sun, Dong‐Sheng Li

Bibliographic record

VenueACS Materials Letters · 2023
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen Storage and Materials
Canadian institutionsInstitut National de la Recherche ScientifiqueÉcole de Technologie Supérieure
FundersHigher Education Discipline Innovation ProjectNatural Science Foundation of Hubei ProvinceNational Natural Science Foundation of China
KeywordsDiboraneAmmonia boraneHydrolysisChemistryBoranesHydrogenSodium borohydrideHydrogen storageGravimetric analysisChemical engineeringOrganic chemistryInorganic chemistryCatalysisBoron

Abstract

fetched live from OpenAlex

Hydrogen (H 2 ) has drawn extensive attention due to its superior gravimetric capacity density and eco-friendly nature. Nowadays, hydrogen is mainly produced by the steam reforming of natural gas, a process that leads to massive emissions of greenhouse gases. Very recently, H 2 evolution upon hydrolysis of diboranes (e.g., B 2 (OH) 4 and B 2 pin 2 ) is promising because both H atoms of the released H 2 are obtained from water. This is different from the hydrolysis of sodium borohydride, dimethylaminoborane, ammonia borane, and tetramethyldisiloxane, where an H 2 is generated with only one H atom from H 2 O and the other one from hydrogen storage materials. Importantly, diborane hydrolysis in D 2 O could provide an easy and simple method for D 2 evolution. In this minireview, an overview of H 2 evolution upon diborane hydrolysis with an extraordinary emphasis on the recent developments in mechanism study and applications is presented. The future research emphasis and perspectives of H 2 evolution upon diborane hydrolysis have been suggested for commercialization as well.

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: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.215
Teacher spread0.197 · 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

Citations20
Published2023
Admission routes1
Has abstractyes

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