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Record W2126593153 · doi:10.1002/pssc.200405547

Design of an energy conversion system with decomposition of H <sub>2</sub> O and CO <sub>2</sub> using ferrites

2004· article· en· W2126593153 on OpenAlexaff
H. C. Shin, Jungmi Oh, B. C. Choi, S. C. Choi

Bibliographic record

VenuePhysica status solidi. C, Conferences and critical reviews/Physica status solidi. C, Current topics in solid state physics · 2004
Typearticle
Languageen
FieldEngineering
TopicChemical Looping and Thermochemical Processes
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsFerrite (magnet)DecompositionMaterials scienceMethanationCarbon monoxideChemical engineeringMethaneChemistryCatalysisComposite materialOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

The energy conversion system was designed in order to reduce the green-house effect and to get energy resources by decomposition of CO2 and H2O. This system is consisted of two parts, one is CO2 decomposition with the reduced ferrite by H2 and the other is H2O decomposition with reduced ferrite by CH4. CH4 could be synthesized in this system by methanation reaction using carbon, which was deposited on the ferrite surface in the CO2 decomposition process. Also, CH4 was used as reducing gas to reduce the ferrite for H2O decomposition. H2O was decomposed by oxidation of oxygen-deficient ferrite. In this energy conversion system, the reduced Cu-ferrite easily decomposed CO2 and H2O into the useful gases such as CO and H2, respectively. Cu-ferrite is a suitable material to apply to this system because it showed excellent redox reactivity on the energy conversions. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

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)0.000
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 score0.086
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.303
Teacher spread0.270 · 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
Published2004
Admission routes1
Has abstractyes

Explore more

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