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Record W4388451825 · doi:10.1021/acsenergylett.3c01840

Maintaining Interfacial Transports for Sulfide-Based All-Solid-State Batteries Operating at Low External Pressure

2023· article· en· W4388451825 on OpenAlexaff
Wei Zhao, Yan Zhang, Nan Sun, Qingsong Liu, Hanwen An, Yajie Song, Biao Deng, Jian Wang, Geping Yin, Fanpeng Kong, Shuaifeng Lou

Bibliographic record

VenueACS Energy Letters · 2023
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsCanadian Light Source (Canada)University of Saskatchewan
FundersFundamental Research Funds for the Central UniversitiesNatural Science Foundation of ChongqingHarbin Institute of TechnologyNational Natural Science Foundation of China
KeywordsMaterials scienceCathodeSynchrotronSulfideAnodeEnergy storageElectrodeNanotechnologyThermodynamicsElectrical engineeringChemistryMetallurgyEngineeringPower (physics)

Abstract

fetched live from OpenAlex

All-solid-state batteries (ASSBs) have attracted considerable attention due to their theoretically high energy density and safety. However, maintaining intimate interfacial contact at low external pressures remains a challenge, limiting large-scale practical applications. Here, a bottom-up design of all-solid-state electrodes is proposed by minimizing internal stress variation to maintain interfacial transport at low external pressures. Theoretical calculations and synchrotron X-ray techniques reveal that the surface-to-bulk pillar effect alleviates the volumetric strain of the cathode materials at high delithiation, which is favorable for improving the interfacial mechanical and chemical compatibility to create fast ion percolation networks of the electrode. Therefore, the 4.4 V sulfide-based ASSBs retain a high specific capacity (166.7 mAh g –1, 0.2C), good rate performance, and stable cyclability (90.8% retention) at the operating pressure of 2 MPa. This work sheds light on the design concept of electrochemomechanical manipulation, serving as a guideline for developing practically acceptable low-pressure ASSBs.

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 score0.003

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 communication0.0000.001
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 head0.013
GPT teacher head0.243
Teacher spread0.231 · 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

Citations56
Published2023
Admission routes1
Has abstractyes

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Same venueACS Energy LettersSame topicAdvancements in Battery MaterialsFrench-language works237,207