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Enhanced electrochemical performance of Spray–Dried Na2Fe0.5Mn0.5PO4F/CNT cathode for Sodium–Ion batteries

2025· article· en· W4413151562 on OpenAlexaff
Lahcen Fkhar, Zineb El Kacemi, Jérôme Bodart, O. Mounkachi, M. Ballı, Frèdéric Boschini, Hamid Oubaha, Abdelfattah Mahmoud

Bibliographic record

VenueJournal of Power Sources · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsUniversité de Sherbrooke
FundersInstitut de Recherche en Energie Solaire et Energies NouvellesUniversité de Liège
KeywordsElectrochemistryCathodeSodiumMaterials scienceIonSpray dryingChemical engineeringInorganic chemistryChemistryMetallurgyElectrodeEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Na 2 Fe 0.5 Mn 0.5 PO 4 F and Na 2 Fe 0.5 Mn 0.5 PO 4 F/CNT composite were prepared through a one–step spray–drying process and evaluated as cathode active materials for Na–ion batteries (NIBs). The prepared materials crystallize in the monoclinic P2 1 /c space group as confirmed by XRD analysis. Benefiting from the spray drying protocol, distorted particle shape with large surface indentations were obtained with an average size of ∼9 μm (d 50 ) measured by laser granulometry. The distribution of the CNTs in the composite was demonstrated by TEM analysis. The materials were also characterized by 57 Fe Mössbauer spectroscopy and magnetic hysteresis measurements. The spray–dried Na 2 Fe 0.5 Mn 0.5 PO 4 F/CNT composite demonstrates enhanced electrochemical performance by delivering a capacity of 118 mAh/g (95 % of the C th = 124.5 mAh/g) at C/20 versus 60 mAh/g for Na 2 Fe 0.5 Mn 0.5 PO 4 F with a good cycling stability after 100 cycles. In-situ potentiostatic electrochemical impedance spectroscopy (PEIS) and galvanostatic intermittent titration technique (GITT) were considered to study the charge transfer kinetic in the electrodes. Overall, in this work, we propose a scalable synthesis method and strategy for the development of Na 2 Fe 0.5 Mn 0.5 PO 4 F/CNT as high performance cathode material that could compete with existing cathode materials for NIBs.

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 categoriesnone
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 score0.041
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.243
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2025
Admission routes1
Has abstractyes

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