MétaCan
Menu
Back to cohort
Record W4409702027 · doi:10.1021/acsami.4c21320

Advances in the Development and Application of δ-Bi<sub>2</sub>O<sub>3</sub>-Based Ionic Conductors for Ceramic Electrochemical Cells

2025· review· en· W4409702027 on OpenAlexaff
Incheol Jeong, Hyeongmin Yu, Donghun Lee, Ki‐Min Roh, Eric D. Wachsman, Kang Taek Lee

Bibliographic record

VenueACS Applied Materials & Interfaces · 2025
Typereview
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsKootenay Association for Science & Technology
FundersNational Research Council of Science and TechnologyNational Research Foundation of KoreaMinistry of Trade, Industry and Energy
KeywordsMaterials scienceCeramicElectrical conductorElectrochemistryIonic bondingNanotechnologyChemical engineeringEngineering physicsElectrodeIonComposite materialPhysical chemistry

Abstract

fetched live from OpenAlex

The increasing demand for sustainable energy solutions has driven interest in ceramic electrochemical cells, which are also known as solid oxide electrochemical cells, for high-efficiency power generation and hydrogen production. Ceramic electrochemical cells offer fuel flexibility and reduced CO 2 emissions. However, high operating temperatures (>700 °C) result in higher costs and performance degradation. Efforts to lower the operating temperatures have led to advancements in materials, particularly Bi 2 O 3 -based ionic conductors, which are known for their superior oxygen ion conductivity. Despite their potential, Bi 2 O 3 -based materials suffer from instability at the expense of facile ionic transport. This review examines recent research addressing these challenges, focusing on intrinsic properties, chemical compositions, cell designs, and fabrication methods to improve the stability and performance. Additionally, the potential of incorporating Bi 3+ into other oxides is explored. The discussion and summary in this review aim to guide the rational design of ceramic electrochemical cells operating at low temperatures with Bi 2 O 3 -based ionic conductors.

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: Review · Consensus signal: none
Teacher disagreement score0.279
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.015
GPT teacher head0.293
Teacher spread0.278 · 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
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

Citations10
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueACS Applied Materials & InterfacesSame topicAdvancements in Solid Oxide Fuel CellsFrench-language works237,207