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Record W7117540001 · doi:10.5539/eer.v15n1p1

Investigating Crystal Structure through Fe-Doping in Bimetallic Oxide Materials and Examining Catalytic Activity

2025· article· W7117540001 on OpenAlexvenueno aff
MD Ruhul Amin, F. A. Sabbir Ahamed, Monirul Islam Uzzal, Md. Mosharraf Hossain Bhuiyan

Bibliographic record

VenueEnergy and Environment Research · 2025
Typearticle
Language
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsnot available
Fundersnot available
KeywordsMonoclinic crystal systemBimetallic stripCatalysisCrystal structureOxidePerovskite (structure)Hexagonal crystal systemElectrochemistryMetal

Abstract

fetched live from OpenAlex

Controlled Fe substitution through the Solid State Synthesis (argon condition) at the B site in the BaMn 1 x FeₓO 3 δ metal oxide system leads to significant improvements in the electrocatalytic activities for both the oxygen evolution reaction (OER) and the hydrogen evolution reaction (HER). When the iron content goes up, the crystal structure changes from hexagonal polytypes (4H BaMnO 3 δ , 10H BaMn 1/2 Fe 1/2 O 3 δ , and 10H BaMn 1/3 Fe 2/3 O 3 δ ) to a monoclinic perovskite type structure in BaFeO 3 δ . This change in structure is accompanied by a significant improvement in electrochemical performance. Compared to Mn rich compositions, BaFeO 3 δ has much lower overpotentials, less charge transfer resistance, higher current densities, and faster reaction kinetics. The results show how important it is to change th e amount of Fe in order to change the electronic structure and catalytic activity of perovskite oxides that are common on Earth. This study demonstrates that the world's second most abundant and cheapest metal, Fe induced structural reorganization, is a vi able approach for the development of high performance catalysts for water splitting, especially in the hexagonal structural framework, which is less investigated.

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)0.002
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 score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.035
GPT teacher head0.283
Teacher spread0.248 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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