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Record W612273054

New generation or universal fuel cell system? R&D for intermediate temperature solid oxide fuel cells (ITSOFCs)

2001· article· en· W612273054 on OpenAlexvenueno aff
Bin Zhu

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2001
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsnot available
Fundersnot available
KeywordsFlexibility (engineering)BottleneckFuel cellsEconomic shortageProcess engineeringComputer scienceNanotechnologyMaterials scienceEngineeringEmbedded systemChemical engineering
DOInot available

Abstract

fetched live from OpenAlex

Present challenges forfuel cell (FC) commercialisation are related to the material and system limitations, delaying the FC market. Most intensive interests currently for the FCs are concentrated on the polymer electroyte fuel cells (PEFCs) and solid oxide fuel cells (SOFCs). Due to the material constraint the SOFC system has to be operated at high temperature, e.g., 1000 degreesC, resulting in expensive SOFC system and complex technology; while the noble platinum catalyst has to be used for the PEFCs, creating a bottleneck for its commercialisation. In addition, the PEFC system has limited applications due to a shortage of the fuel flexibility, e.g., for hydrocarbon fuels, existing commonly in present fuel infrastructure. There is therefore a need to develop new generation or universal FC system, which can be employed for various applications for both mobile, e.g., electrical vehicles, and stationary, e.g., power generation plant. These request an advanced FC system that should possess of the wide fuel flexibility, i.e., fitting to various present hydrocarbon fiiels, and most importantly, this FC system should be cost-effective and marketable. However the present FC systems themselves alone are difficult to meet these demands due to the, material and system limitations. Our strategy is to develop a new advanced or near universal FC system to combine technological advantage from present FC systems to create a new competitive vis-a-vis FC technology. To realise this strategy a key issue is addressed from the material point of view., This paper thus reviews recent developments/progresses and achievements/applications for R&D on the materials and ITSOFCs, more concerned on the new material-based ITSOFCs.

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)
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 score0.067
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.017
GPT teacher head0.267
Teacher spread0.250 · 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
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

Citations6
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueJournal of New Materials for Electrochemical SystemsSame topicAdvancements in Solid Oxide Fuel CellsFrench-language works237,207