Evidence map›Paper›PMID 42545205›Full record

ArticleSmall methods2026

Interfacial Nucleation Processes With SEI Governed for Zinc Ion Batteries.

Chenchen Zhang, Xinting Cao, Zhenyu Wang, Shuangquan Qu, Tianyi Chen, Yangrui Shuai, Ziqi Wu, Qinghan Lu, Ze Hua, Guoquan Sun and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Chenchen ZhangBeijing Advanced Innovation Center for Intelligent Robots and Systems, School of Medical Technology, Beijing Institute of Technology, China.
Xinting CaoBeijing Advanced Innovation Center for Intelligent Robots and Systems, School of Medical Technology, Beijing Institute of Technology, China.ORCID https://orcid.org/0009-0000-5002-632X
Zhenyu WangBeijing Advanced Innovation Center for Intelligent Robots and Systems, School of Medical Technology, Beijing Institute of Technology, China.
Shuangquan QuSchool of Integrated Circuits and Electronics, MIIT Key Laboratory For Low-Dimensional Quantum Structure and Devices, Beijing Institute of Technology, Beijing, China.
Tianyi ChenBeijing Advanced Innovation Center for Intelligent Robots and Systems, School of Medical Technology, Beijing Institute of Technology, China.
Yangrui ShuaiSchool of Materials Science and Engineering, Beijing Institute of Technology, Beijing, PR China.ORCID https://orcid.org/0009-0001-6623-0402
Ziqi WuBeijing Advanced Innovation Center for Intelligent Robots and Systems, School of Medical Technology, Beijing Institute of Technology, China.
Qinghan LuBeijing Advanced Innovation Center for Intelligent Robots and Systems, School of Medical Technology, Beijing Institute of Technology, China.
Ze HuaBeijing Advanced Innovation Center for Intelligent Robots and Systems, School of Medical Technology, Beijing Institute of Technology, China.
Guoquan SunBeijing Advanced Innovation Center for Intelligent Robots and Systems, School of Medical Technology, Beijing Institute of Technology, China.
Li YanAnalysis & Testing Center, Beijing Institute of Technology, Beijing, China.
Lixia BaoAnalysis & Testing Center, Beijing Institute of Technology, Beijing, China.
Xiaoxue ChangAnalysis & Testing Center, Beijing Institute of Technology, Beijing, China.ORCID https://orcid.org/0000-0002-9860-0770
Xiangyi LuoSchool of Materials Science and Engineering, Beijing Institute of Technology, Beijing, PR China.ORCID https://orcid.org/0000-0002-4817-1461
Marco GiorgettiDepartment of Industrial Chemistry "Toso Montanari", University of Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0001-7967-8364
Shulin ChenCollege of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, China.ORCID https://orcid.org/0009-0007-2536-2074
Ruiwen ShaoBeijing Advanced Innovation Center for Intelligent Robots and Systems, School of Medical Technology, Beijing Institute of Technology, China.ORCID https://orcid.org/0000-0002-3082-0486

Funding

Beijing Science and Technology Planning Project Z251100006925032China Scholarship CouncilNational Natural Science Foundation of China 12274025
6 · The paper itself

Abstract

Understanding the zinc nucleation and growth process is crucial for improving zinc metal battery performance. While both the solid-electrolyte interphase (SEI) and the substrate are known to influence zinc nucleation, their respective roles and interplay remain quantitatively far from clear. Here, we decouple these interactions by constructing an organic-inorganic hybrid SEI, while SEI properties make the zinc nucleation and growth controlled by SEI and substrate independent. This SEI-induced control mechanism directs zinc to preferentially nucleate along the (101) crystal plane, achieving ordered plating/stripping and effectively suppressing dendrite formation. Consequently, we achieved exceptionally stable zinc electrodeposition, enabling symmetric Zn//Zn cells to deliver an ultra-long cycling life of over 6000 h at 0.25 mA cm

Indexed as

COMSOL simulationelectrolyte additiveSEI‐controlledzinc anode

Identifiers

PMID42545205
PMCPMC13555689

What OpenQuestion holds

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Registered trials

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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.