The Boundary‐Like Defect Type Vertical Graphene Enhances the Stability of Lithium Metal Batteries Article Swipe
Xiaodong Wang
,
Dingrong Guo
,
Peng Zhou
,
Xu Ping
,
Qi Liu
,
Liping Wang
,
Zhean Su
,
Feixiang Wu
,
Mingyu Zhang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/bte2.20240122
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/bte2.20240122
The growth of lithium dendrites has been regarded as the biggest challenge for lithium metal batteries (LMBs). Vertical graphene (VG) is a promising inhibitor against lithium dendrites. However, there is no research on the effects of various defect types of VG on LMBs. Herein, we grew different defect types of VG on copper foam as LMBs anode and then studied their electrochemical properties in detail. As the synthesis temperature increases, the density of carbon nanosheets (CNS) gradually rises, causing the VG to transition from vacancy‐like type to boundary‐like type. The cycling test shows that the boundary‐like type electrode exhibits the highest coulombic efficiency exceeding 97.9% after 200 cycles at 5 mA cm − 2 among various defect type electrodes. The superior electrochemical performance of the boundary‐like type electrodes is attributed to their high defect content and abundant edge defects, which provide numerous nucleation sites for lithium and promote uniform deposition. Additionally, the unique three‐dimensional morphology of VG offers sufficient space for lithium deposition, effectively inhibiting the growth of lithium dendrites. This study highlights that boundary‐like type VG can effectively enhance the stability of LMBs, and provides a new idea for the application of VG to the anode of LMBs.
Related Topics
Concepts
Graphene
Lithium (medication)
Lithium metal
Materials science
Type (biology)
Boundary (topology)
Stability (learning theory)
Nanotechnology
Geology
Thermodynamics
Computer science
Physics
Mathematics
Battery (electricity)
Psychology
Paleontology
Mathematical analysis
Psychiatry
Power (physics)
Machine learning
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/bte2.20240122
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bte2.20240122
- OA Status
- gold
- Cited By
- 1
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410157723
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410157723Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/bte2.20240122Digital Object Identifier
- Title
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The Boundary‐Like Defect Type Vertical Graphene Enhances the Stability of Lithium Metal BatteriesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-07Full publication date if available
- Authors
-
Xiaodong Wang, Dingrong Guo, Peng Zhou, Xu Ping, Qi Liu, Liping Wang, Zhean Su, Feixiang Wu, Mingyu ZhangList of authors in order
- Landing page
-
https://doi.org/10.1002/bte2.20240122Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bte2.20240122Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bte2.20240122Direct OA link when available
- Concepts
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Graphene, Lithium (medication), Lithium metal, Materials science, Type (biology), Boundary (topology), Stability (learning theory), Nanotechnology, Geology, Thermodynamics, Computer science, Physics, Mathematics, Battery (electricity), Psychology, Paleontology, Mathematical analysis, Psychiatry, Power (physics), Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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46Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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