Comparison of Nanoarchitecture to Porous Media Diffusion Models in Reduced Graphene Oxide/Aramid Nanofiber Electrodes for Supercapacitors.

Clicks: 342
ID: 101091
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #24 of 150 articles by views in acs nano

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 150 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Structural electrodes made of reduced graphene oxide (rGO) and aramid nanofiber (ANF) are promising candidates for future structural supercapacitors. In this study, the influence of nanoarchitecture on the effective ionic diffusivity, porosity and tortuosity in rGO/ANF structural electrodes is investigated through multiphysics computational modeling. Two specific nanoarchitectures, namely, 'house-of-cards' and 'layered' structures are evaluated. The results obtained from nanoarchitecture computational modeling are compared to the porous media approach and shows that the widely used porous electrode theory such as Bruggeman or Millington-Quirk relations, overestimates the effective diffusion coefficient. Also, the results from nanoarchitecture modeling are validated with experimental measurements obtained from impedance spectroscopy (EIS) and cyclic voltammetry (CV). The effective diffusion coefficients obtained from nano-architectural modeling show better agreement with experimental measurements. Evaluation of microscopic properties such as porosity, tortuosity and effective diffusivity through both experiment and simulation is essential to understand the material behavior and improve its performance.
Reference Key
aderyani2020comparisonacs Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Aderyani, Sarah;Shah, Smit A;Masoudi, Ali;Green, Micah J;Lutkenhaus, Jodie L;Ardebili, Haleh;
Journal acs nano
Year 2020
DOI
10.1021/acsnano.9b07116
URL
Keywords
acid-washing atomically dispersed ni chronoamperometry cyclic voltammetry (cv) methanol tolerance non-precious orr catalyst proton exchange membrane fuel cells (pemfc)

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.