Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 284

The DOI matches its Crossref record.

Suppressing Dendrite Growth during Zinc Electrodeposition by PEG-200 Additive

Banik, Stephen J., Akolkar, Rohan·2013·Journal of The Electrochemical Society

Abstract

Electrodeposition of zinc at current densities close to the mass transport limit produces needle-like dendrites. Suppressing dendrites is of technological interest to applications in sacrificial corrosion protection coatings and flow batteries. In the present work, we report the use of polyethylene glycol (PEG, M.W. = 200) as an effective electrolyte additive to suppress dendrites during zinc electrodeposition from halide-based electrolytes. Dendrite growth rate is measured as a function of the PEG concentration using in situ optical microscopy, which shows that the dendrite suppression efficacy due to PEG increases with PEG concentration. Polarization experiments on a rotating disk electrode provide system parameters, i.e., the exchange current density and the cathodic transfer coefficient, which confirm that PEG suppresses the zinc electrodeposition kinetics. The kinetic parameters are incorporated into a simple electrochemical model for activation-controlled dendrite propagation. The model predicts an order of magnitude reduction in the zinc dendrite growth rates in the presence of high concentration of PEG (10000 ppm), consistent with experimental findings.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1149/2.040311jes

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 284

Metadata

Authors
Banik, S. J., & Akolkar, R.
Venue
Journal of The Electrochemical Society
Published
2013
Volume
160
Issue
11
Pages
D519-D523
ISSN
  • 0013-4651 (ISSN-L)
  • 1945-7111
OpenAlex
W2074982529
Cited by
284
References
0
FWCI
3.99
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Suppressing Dendrite Growth during Zinc Electrodeposition by PEG-200 Additive. https://app.cochat.ai/papers/10.1149/2.040311jes
The paper
Banik, S. J., & Akolkar, R. (2013). Suppressing Dendrite Growth during Zinc Electrodeposition by PEG-200 Additive. Journal of The Electrochemical Society. https://doi.org/10.1149/2.040311jes

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.