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Record W3116463622 · doi:10.1021/acsaem.0c02865

Enhanced Electrochemical Performance and Thermal Stability of ZrO<sub>2</sub>- and rGO–ZrO<sub>2</sub>-Coated Li[Ni<sub>0.8</sub>Co<sub>0.1</sub>Mn<sub>0.1</sub>]O<sub>2</sub> Cathode Material for Li-Ion Batteries

2020· article· en· W3116463622 on OpenAlexaff
Mojtaba Khalili Azar, Mohammad Amin Razmjoo Khollari, Mehdi Esmaeili, Seyed Morteza Hosseini‐Hosseinabad, Roozbeh Siavash Moakhar, Abolghasem Dolati, Seeram Ramakrishna

Bibliographic record

VenueACS Applied Energy Materials · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsCathodeMaterials scienceThermal stabilityElectrochemistryCoatingChemical engineeringElectrolyteComposite numberCapacity lossComposite materialElectrodeChemistry

Abstract

fetched live from OpenAlex

LiNi 0.8 Co 0.1 Mn 0.1 O 2 (NCM811) has been considered as a promising cathode for Li-ion batteries (LIBs) due to its high electrochemical capacity and low cost; however, poor cycling stability is one of the main restricting factors in industrial applications of the NCM811 cathode material. Notably, the capacity fading and low structural stability of NCM811 are intensified at elevated temperatures. ZrO 2 - and composite rGO–ZrO 2 -coated NCM811 were fabricated by a facile wet chemical method and evaluated at 25 and 55 °C to overcome these impediments. The ZrO 2 coating provides superior cycling and thermal stability and perfectly protects the cathode active material from deleterious side reactions, and HF attacks by suppressing the direct contact of NCM811 particles and electrolytes. Despite these advantages, the discharge capacity of the ZrO 2 -coated cathode material (166.3, 187.7 mAh g –1 ) is slightly lower than that of the pristine cathode (171.7, 193.0 mAh g –1 ) due to the insulative nature of ZrO 2 NPs, after one cycle at ambient and elevated temperatures. The first cycle discharge capacity increased to 185.9 and 206.7 mAh g –1 at 25 and 55 °C, respectively, with the rGO–ZrO 2 -coated cathode material. The capacity retention reached 92.4 and 83.3%, showing high capacities of 171.8 and 172.3 mAh g –1 at 1C after 100 cycles at 25 and 55 °C, whereas the pristine cathode material exhibited low retention values of 72.4 and 54.5% with discharge capacities of 124.3 and 105.2 mAh g –1 under the same conditions, respectively. The incorporation of rGO into the coating can make up for the ZrO 2 coating imperfection and, at the same time, can enhance the ion/electron conductivity of the electrode by providing a conductive network on the surface of the cathode material. In light of the fact that ZrO 2 - and composite rGO–ZrO 2 -coated NCM811 cathode materials exhibit superior performance; they can pave the way for industrial applications of high-energy-density lithium-ion batteries.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.204
Teacher spread0.195 · 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 source (direct Gemma or distilled Codex), 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

Citations30
Published2020
Admission routes1
Has abstractyes

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