Evidence map›Paper›PMID 40557527›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

Unraveling the Impact of Electrosorbed Ions on the Scaling Behavior of Fast-Charging Dynamics of Nanoporous Electrodes Toward Digital Design of Iontronic Devices.

Jinsha Liao, Peiyao Wang, Wen-Jie Jiang, Xiaoyang Du, Jefferson Zhe Liu, Dan Li

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jinsha LiaoDepartment of Chemical Engineering, The University of Melbourne, Parkville, VIC, 3082, Australia.ORCID https://orcid.org/0009-0004-3377-7390
Peiyao WangDepartment of Chemical Engineering, The University of Melbourne, Parkville, VIC, 3082, Australia.
Wen-Jie JiangDepartment of Chemical Engineering, The University of Melbourne, Parkville, VIC, 3082, Australia.ORCID https://orcid.org/0000-0003-1852-0429
Xiaoyang DuDepartment of Chemical Engineering, The University of Melbourne, Parkville, VIC, 3082, Australia.ORCID https://orcid.org/0000-0002-1021-1819
Jefferson Zhe LiuDepartment of Mechanical Engineering, The University of Melbourne, Parkville, VIC, 3082, Australia.ORCID https://orcid.org/0000-0002-5282-7945
Dan LiDepartment of Chemical Engineering, The University of Melbourne, Parkville, VIC, 3082, Australia.ORCID https://orcid.org/0000-0003-3461-5751

Funding

Australian Research Council DP220103498Australian Research Council FL180100029Australian Research Council FT220100149Australian Research Council IC180100049
6 · The paper itself

Abstract

Electrolyte-filled nanoporous electrodes with fast-charging capability are critical for advanced energy storage and iontronic devices. However, experiments and simulations consistently show that increasing electrode thickness degrades performance by limiting ion access to effective electrode/electrolyte interfaces, especially under fast-charging conditions. While often attributed to sluggish ion transport, the underlying mechanisms and the quantitative link between thickness and performance remain unclear due to complex pore structures and nanoconfined ion dynamics. Here, using multilayered graphene membranes as a model system, modified Poisson-Nernst-Planck simulations with experiments are combined to reveal how electrosorbed ions reshape local electrical and chemical potentials, particularly as the surface-to-volume ratio increases with reduced pore size. It is shown that electrosorbed ions substantially influence the scaling behavior of capacitance across electrode thicknesses, causing marked deviations from classical transmission line models as pores approach nanometric dimensions. Despite the complexity introduced by nanoconfinement, introducing a correction factor enables capacitance-scan rate relationships to collapse into a unified curve across various electrode architectures, allowing computationally efficient design of high-performance fast-charging electrochemical and iontronic devices. This work highlights the unique role of 2D nanomaterials as a versatile platform for bridging experiments and theory to address long-standing challenges in ion transport dynamics.

Indexed as

2D materialscharging dynamicsfast‐chargingnanoconfined ion transportnanoporous materials

Identifiers

PMID40557527
PMCPMC12422083

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.