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Record W4414245341 · doi:10.1021/acsenergylett.5c02146

Promotion of Reversible Fuel-Power Generation in Protonic Ceramic Electrochemical Cell via Water-Mediated Ex-Solution

2025· article· en· W4414245341 on OpenAlex
Sejong Ahn, Dongyeon Kim, Incheol Jeong, HeeChan Kang, Ivy Lim, Dae‐Kwang Lim, Jun Kyu Kim, Ki‐Min Roh, Bonjae Koo, Jun Hyuk Kim, Kang Taek Lee, WooChul Jung

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACS Energy Letters · 2025
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsKootenay Association for Science & Technology
FundersKorea Electric Power CorporationNational Research Foundation of Korea
KeywordsCeramicElectrochemistryCurrent densityElectrodePower densityPerovskite (structure)CatalysisNanoparticle

Abstract

fetched live from OpenAlex

It is indicated that water can be an active motif for nanoparticle ex-solution. Yet, only a handful of studies are available, if possible, limited to the elemental composition of Ba(Co,Fe,Zr,Y)O 3−δ as a mother oxide. Here we prove the versatility of water-mediated ex-solution by expanding the perovskite palettes. Among these, our selected composition (i.e., Ag ex-solved Ba 0.95 Ag 0.05 Co 0.8 Nb 0.1 Ta 0.1 O 3-δ, e-BACNT) is demonstrated as an oxygen electrode material for protonic ceramic electrochemical cells, promoting efficient reversible fuel-power generation. Thereby, a peak power density of ∼1.81 W cm –2 and water-splitting current density of ∼2.93 A cm –2 at 1.3 V and 650 °C are achieved within a single cell. Apart from its notable cell performances, this work unveils new opportunities for creating functional metal-oxide heterointerfaces.

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.

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)0.000
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.005
GPT teacher head0.196
Teacher spread0.191 · 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