Evidence map›Paper›PMID 42647632›Full record

ArticleScience advances2026

Realizing long-cycling silicon-based all-solid-state batteries with near-zero-stress variation.

Xu-Sheng Zhang, Jici Wen, Zhen-Zhen Shen, Xin Zhang, Jian-Xin Tian, Rui-Zhi Liu, Zehui Zhang, Kai-Xiang Zhou, Shuang-Yan Lang, Wen-Peng Wang and 5 more

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

15 authors.

Xu-Sheng ZhangCAS Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, People's Republic of China.ORCID 0000-0002-3039-9222
Jici WenUniversity of Chinese Academy of Sciences, Beijing 100190, People's Republic of China.ORCID 0000-0001-9422-2074
Zhen-Zhen ShenCAS Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, People's Republic of China.ORCID 0000-0002-8588-2713
Xin ZhangCAS Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, People's Republic of China.ORCID 0009-0008-2519-1217
Jian-Xin TianCAS Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, People's Republic of China.ORCID 0000-0002-9222-8277
Rui-Zhi LiuCAS Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, People's Republic of China.ORCID 0000-0003-0570-5221
Zehui ZhangUniversity of Chinese Academy of Sciences, Beijing 100190, People's Republic of China.
Kai-Xiang ZhouCAS Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, People's Republic of China.
Shuang-Yan LangCAS Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, People's Republic of China.ORCID 0000-0003-2139-9308
Wen-Peng WangCAS Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, People's Republic of China.ORCID 0000-0002-0775-6447
Sen XinCAS Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, People's Republic of China.ORCID 0000-0002-0546-0626
Rui WenCAS Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, People's Republic of China.ORCID 0000-0003-2644-7452
Yujie WeiUniversity of Chinese Academy of Sciences, Beijing 100190, People's Republic of China.ORCID 0000-0002-3213-7891
Li-Jun WanCAS Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, People's Republic of China.ORCID 0000-0002-0656-0936
Yu-Guo GuoCAS Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, People's Republic of China.ORCID 0000-0003-0322-8476

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silicon anodes present a compelling alternative to lithium metal for all-solid-state batteries (ASSBs), offering high capacity without dendrite risks. However, their application is hindered by incomplete understanding of electro-chemo-mechanical (ECM) failure mechanisms in all-solid-state configurations. Through multiple in situ characterizations combining optical microscopy, atomic force microscopy, and pressure monitoring, this work uncovers fundamental stress-mediated degradation pathways in silicon-based ASSBs. Stress evolution-particularly in-plane strain mismatch and out-of-plane mechanical constraints-governs the dominant failure criterion, superseding traditional volume change metrics. This stress-dominated mechanism arises from the interplay between volume and modulus in constrained all-solid-state systems. Guided by these insights, complementary mitigation strategies were developed, including electrode/electrolyte modulus engineering to reduce interfacial stresses and elastic constraint design to accommodate mechanical fluctuations. The synergistic implementation achieves near-zero stress variation and breakthrough cycling stability (90.1% capacity retention after 5000 cycles). This work establishes a paradigm for high-energy-density batteries, shifting the design focus from volume accommodation to comprehensive stress management in all-solid-state systems.

Identifiers

PMID42647632
PMCPMC13510668

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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.