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Record W3107309951 · doi:10.1002/celc.202001371

Review on Current Progress of MnO<sub>2</sub>‐Based Ternary Nanocomposites for Supercapacitor Applications

2020· article· en· W3107309951 on OpenAlex

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

VenueChemElectroChem · 2020
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsWestern University
Fundersnot available
KeywordsSupercapacitorMaterials scienceNanocompositeTernary operationElectrolyteNanomaterialsNanotechnologyCapacitanceCrystallinityChemical engineeringElectrodeComposite materialChemistryComputer science

Abstract

fetched live from OpenAlex

Abstract Manganese dioxide (MnO 2 ) has proved itself as a popular pseudocapacitive material with low fabrication cost, high availability, low toxicity, and improved handling safety compared to many other inorganics or carbon‐based systems existing in the market. However, the specific capacitance reported to date has been far inferior to that of the theoretically predicted value (ca. 1370 Fg −1 ), which is mainly attributed to the issues associated with poor conductivity, nanostructure agglomeration, low porosity, rapid electrolyte‐mediated dissolution, and so forth, which have considerably limited its commercial effectiveness. Thus, to bring about improvement in the electrochemical performance of MnO 2 ‐based supercapacitors, novel designs of MnO 2 nanomaterials through composite formations with other substances, such as nanocarbons, conducting polymers or inorganic materials, namely metal oxides and sulfides, have been comprehensively explored. Extensive studies on these MnO 2 binary nanocomposites revealed significant improvement in the electrochemical features compared to pristine phases; nevertheless, the achieved state is still far below practicability. Hence, scientists have opted for MnO 2 ‐based ternary nanocomposites achieved by blending appropriate proportions the three components (MnO 2 nanostructures being one of the constant components) that would promote synergism to attain suitable dimensions, crystallinity, crystal structure, conductivity, mass loading, and electrolyte selectivity so as to confer superior capacitance, charge transfer kinetics, better utilization of electroactive materials, energy and power densities, as well as improved mechanical stability and environmental adaptability. Herein, recent developments and advancements in the research of various MnO 2 ‐based ternary nanocomposites employed for supercapacitor applications have been discussed and are compared with binary analogs with special emphasis on correlating their composition, morphology, and the electrochemical properties that are noticeably modified upon introduction of the third component. The associated challenges encountered in their progress toward commercialization and the probable ideas of persuading better strategic designs of these ternary systems for high‐performance supercapacitor applications have also been delineated.

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 score0.030
Threshold uncertainty score0.770

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 head0.026
GPT teacher head0.273
Teacher spread0.246 · 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