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Record W4409360512 · doi:10.1016/j.surfin.2025.106465

Enhancing lithium-sulfur battery performance through the synergistic effects of Congo Red and SnO2 nanoparticles in separator modification layers

2025· article· en· W4409360512 on OpenAlex
Razieh Fazaeli, Yuning Li

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSurfaces and Interfaces · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceCongo redSeparator (oil production)Lithium–sulfur batteryNanoparticleSulfurChemical engineeringBattery (electricity)NanotechnologyMetallurgyAdsorptionOrganic chemistry

Abstract

fetched live from OpenAlex

• A Congo Red/SnO 2 nanocomposite is utilized to modify the battery separator. • The modified separator markedly improves lithium–sulfur battery performance. • The composite effectively inhibits polysulfide shuttling and enhances redox kinetics. • An initial capacity of 1377 mAh g ⁻¹ is achieved with 91 % retention after 300 cycles. The performance of lithium-sulfur batteries (LSBs) is hindered by polysulfide shuttling and sluggish redox kinetics, resulting in rapid capacity fading and poor cycle life. This study presents a new strategy for improving LSB performance by modifying the separator with a Congo Red (CR)-tin dioxide (SnO 2 ) nanocomposite (CR-SnO 2 ), leveraging its synergistic interactions to enhance polysulfide immobilization and lithium-ion transport. Scanning electron microscopy (SEM), X-ray diffraction (XRD), and transmission electron microscopy (TEM) confirm the uniform dispersion of SnO 2 nanoparticles within the CR matrix, creating a stable and functional separator coating. LSBs employing glass fiber (GF) separators modified with CR-SnO 2 /SP/PVP, a composite of CR-SnO 2 , Super P (SP), and polyvinylpyrrolidone (PVP), achieve an initial specific capacity of 1377 mAh g⁻¹ at 0.1C and demonstrate remarkable cycle stability, retaining 91 % of capacity after 300 cycles at 0.5C. Additionally, the modified separator significantly enhances rate performance by reducing charge-transfer resistance and improving redox kinetics. Compared to cells with SnO 2 /SP/PVP or CR/SP/PVP-modified separators, which show limited performance improvements, the CR-SnO 2 -modified separator enables superior polysulfide adsorption and enhanced ionic conductivity, effectively mitigating the shuttle effect. This work advances surface and interface science by demonstrating how the functionalization of separator materials with a synergistic organic-inorganic composite can simultaneously regulate polysulfide conversion and facilitate efficient ion transport. The findings provide new insights into interfacial engineering strategies for improving LSB performance and offer a promising approach for developing high-energy, long-cycle LSBs.

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 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 score0.006
Threshold uncertainty score0.343

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 head0.228
Teacher spread0.221 · 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