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Record W4283031191 · doi:10.1002/celc.202200441

Revealing the Electrochemistry in a Voltaic Cell by In Situ Electron Microscopy

2022· article· en· W4283031191 on OpenAlexaff
Hui Li†, Guang Yang, Jingzhao Chen, Mingyu Li, Yong Su, Qiushi Dai, Hongjun Ye, Baiyu Guo, Lin Geng, Tingting Yang, Jing Wang, Liqiang Zhang, Yongfu Tang, Jianyu Huang

Bibliographic record

VenueChemElectroChem · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsUniversity of Saskatchewan
FundersNatural Science Foundation of Beijing MunicipalityNatural Science Foundation of Hebei ProvinceYanshan UniversityNational Natural Science Foundation of China
KeywordsElectrochemical cellElectrochemistryAnodeGalvanic anodeElectrolyteMaterials scienceGalvanic cellCathodeCorrosionElectrodeNanotechnologyChemical engineeringChemistryMetallurgyCathodic protection

Abstract

fetched live from OpenAlex

Abstract The Voltaic Pile, invented by Italian physicist Alessandro Volta in 1799, was the first electrochemical energy storage device created by mankind. It consists of alternatively stacked copper (Cu) and zinc (Zn) metal disks separated by brine soaked cloth cardboard as the electrolyte. Although fabricated more than two centuries ago, the electrochemistry of the Voltaic Cell has not been fully understood. Understanding the microscopic working principle of the Voltaic Cell not only has historic meaning but also provides a foundation for modern battery technologies, corrosion science and other electrochemical processes. Herein an in situ microscopic observation of the electrochemical reactions in a Voltaic Cell comprised of a Cu cathode, Zn anode and an ionic liquid‐based electrolyte was reported. During discharge, Zn stripping initiated from pits formation at the surface of the Zn anode, which then propagated along the longitudinal direction of the nanorod. Concurrently Cu nanoparticles were electrodeposited on the Cu cathode. Atomic scale imaging revealed the formation of zinc fluoride (ZnF 2 ) solid electrolyte interphase (SEI) layer of about 2 nm, which grew semicoherently with the Zn anode and dictates the stripping kinetics. Our studies provide not only an in‐depth understanding of the electrochemistry of the Voltaic Cell, but also a generic technique for in situ studies of metal plating/stripping and corrosion at nanometer to atomic resolution.

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 categoriesMeta-epidemiology (narrow)
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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.004
GPT teacher head0.238
Teacher spread0.233 · 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.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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