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Record W2803658187 · doi:10.1021/acs.accounts.8b00139

Recent Advances on Sodium–Oxygen Batteries: A Chemical Perspective

2018· article· en· W2803658187 on OpenAlexaff
Hossein Yadegari

Bibliographic record

VenueAccounts of Chemical Research · 2018
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsWestern University
Fundersnot available
KeywordsSodiumPerspective (graphical)OxygenChemistryNanotechnologyBiochemical engineeringComputer scienceMaterials scienceEngineeringOrganic chemistryArtificial intelligence

Abstract

fetched live from OpenAlex

Conspectus Releasing greenhouse gases into the atmosphere because of widespread use of fossil fuels by humankind has resulted in raising the earth’s temperature during the past few decades. Known as global warming, increasing the earth’s temperature may in turn endanger civilization on the earth by starting a cycle of environmental changes including climate change and sea level rise. Therefore, replacing fossil fuels with more sustainable energy resources has been considered as one of the main strategies to tackle the global warming crisis. In this regard, energy saving devices are required to store the energy from sustainable resources like wind and solar when they are available and deliver them on demand. Moreover, developing plug-in electric vehicles (PEVs) as an alternative for internal combustion engines has been extensively pursued, since a major sector of fossil fuels is used for transportation purposes. However, currently available battery systems fail to meet the required demands for energy storage. Alkali metal–O 2 battery systems demonstrate a promising prospect as a high-energy density solution regarding the increasing demand of mankind for energy storage. Combining a metallic negative electrode with a breathing oxygen electrode, a metal–O 2 cell can be considered as a half battery/half fuel cell system. The negative electrode in the metal–O 2 cells operates a conversion reaction rather than intercalation mechanism, which eliminates the need for a host lattice. In addition, the positive electrode material (O 2 ) comes from the ambient air and hence is not stored in the battery. Therefore, the resultant battery systems exhibit the highest theoretical energy density, which is comparable to that of gasoline. Accordingly, an unprecedented amount of research activity was directed toward alkali metal–O 2 batteries in the past decade in response to the need for high-energy storage technology in electric transportation. This extensive research surge has resulted in a rapid expansion of our knowledge about alkali metal–O 2 batteries. The present Account summarizes the most recent findings over the underlying chemistry of all components in Na–O 2 cells as one of the most efficient members of alkali metal–O 2 family.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.004
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.003

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 head0.038
GPT teacher head0.351
Teacher spread0.313 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations65
Published2018
Admission routes1
Has abstractyes

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