Evidence map›Paper›PMID 41948846›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Data-Driven Cation Engineering Guides Electrolyte Design for Sustainable Aqueous Zinc Battery Chemistries.

Xuesong Xie, Yinfei Lyu, Huorong Ren, Witold Pedrycz, Yifan Li, Yang Yang, Xuehai Tan, Minggang Xie, Yi Guan, Yuxuan Xue and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. 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

12 authors.

Xuesong XieDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta, Canada.ORCID https://orcid.org/0000-0003-3734-0191
Yinfei LyuSchool of Electro-mechanical Engineering, Xidian University, Xi'an, China.ORCID https://orcid.org/0009-0002-5046-5992
Huorong RenSchool of Electro-mechanical Engineering, Xidian University, Xi'an, China.
Witold PedryczDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada.
Yifan LiDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta, Canada.
Yang YangDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta, Canada.
Xuehai TanDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta, Canada.
Minggang XieDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta, Canada.
Yi GuanDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta, Canada.
Yuxuan XueDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta, Canada.
Ning ChenHard X-Ray Micro Analysis BL, Canadian Light Source, Saskatoon, Saskatchewan, Canada.
Zhi LiDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta, Canada.ORCID https://orcid.org/0000-0003-1668-4948

Funding

Alberta Innovates 212200888Natural Sciences and Engineering Research Council of Canada RGPIN-2019-04660NSERC Alliance ALLRP 571058-21
6 · The paper itself

Abstract

Vanadium oxides have emerged as attractive cathode materials for zinc-based batteries owing to their high theoretical capacity and versatile redox chemistry. Nevertheless, their persistent dissolution in aqueous electrolytes remains a long-standing challenge, hindering real-world implementation. Here, we develop a cation-engineered electrolyte strategy enabled by a data-driven framework that integrates density functional theory (DFT) calculations, discrete wavelet transform (DWT)-based multi-scale analysis, and differential feature extraction, to efficiently screen potential hetero-cations and their combinations with objective statistic quantification, while minimizing trial-and-error experimentation and selection bias. As a proof of concept, the Zn/VOx batteries with the predicted Na

Indexed as

aqueous zinc‐ion batteriescation‐engineered electrolytesdata‐driven frameworkfailure mechanismvanadium dissolution

Identifiers

PMID41948846
PMCPMC13155322

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.