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Record W2902253977 · doi:10.1149/2.0191901jes

High-Resolution Nanoprinting Approach through Self-Driven Electrodeposition

2018· article· en· W2902253977 on OpenAlexaff
Zhange Feng, Yuanyuan Xie, Nicholas Stefan Georgescu

Bibliographic record

VenueJournal of The Electrochemical Society · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsMcGill University
FundersArgonne National LaboratoryOffice of ScienceCase Western Reserve UniversityUniversity of ChicagoU.S. Department of Energy
KeywordsOverpotentialElectrolyteCopperMultiphysicsElectrochemistryElectrodeRedoxIonMaterials scienceChemical engineeringChemistryNanotechnologyMetallurgyThermodynamicsPhysical chemistryPhysicsFinite element method

Abstract

fetched live from OpenAlex

A novel high-resolution nanoprinting method through self-driven electrodeposition is proposed and certain aspects are confirmed with known copper electrochemistry through multiphysics modeling. A series of simulations are conducted involving a nanopipette filled with concentrated CuSO<sub>4</sub> solution introduced close to the working electrode (WE) in the cell of diluted CuSO<sub>4</sub> electrolyte, where Cu<sup>2+</sup> ions diffuse from nanopipette to the electrode and form a limited region with more concentrated cations compared to the rest of the cell. Meanwhile, this process leads to a more positive equilibrium potential of copper redox reaction and thereby local negative surface overpotential on WE. The negative surface overpotential drives the Cu<sup>2+</sup> electrodeposition in the form of a nano-protrusion on the target location.

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 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: none
Teacher disagreement score0.496
Threshold uncertainty score0.315

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 head0.005
GPT teacher head0.239
Teacher spread0.234 · 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.

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

Citations3
Published2018
Admission routes1
Has abstractyes

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