ArticleAdvanced materials (Deerfield Beach, Fla.)2026
Machine Learning-Guided High-Efficiency and Thermally Stable Capacitive Energy Storage in Dielectric Capacitors With a Simple Chemical Composition.
Fei Yan, Hongyu Yang, Simin Wang, Zihao Zheng, Hairui Bai, Haibo Yang, Da Li, Weiwei Wang, Jinming Guo, Jiwei Zhai
Abstract read
In one paragraphArticle 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. Not yet cited in PubMed.
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5 · Who and what moneyAuthors and funding
10 authors.
Fei YanSchool of Advanced Materials and Nanotechnology, Xidian University, Xi'an, China.
Simin WangShanghai Key Laboratory for R&D and Application of Metallic Functional Materials, Functional Materials Research Laboratory, School of Materials Science and Engineering, Tongji University, Shanghai, China.
Zihao ZhengCenter of Electron Microscopy, Ministry of Education Key Laboratory of Green Preparation and Application for Functional Materials, School of Materials Science and Engineering, Hubei University, Wuhan, China.
Hairui BaiShandong Laboratory of Advanced Materials and Green Manufacturing At Yantai, Yantai, China.
Haibo YangSchool of Material Science and Engineering, Shaanxi Key Laboratory of Green Preparation and Functionalization for Inorganic Materials, Shaanxi University of Science and Technology, Xi'an, China.
Da LiSchool of Material Science and Engineering, Shaanxi Key Laboratory of Green Preparation and Functionalization for Inorganic Materials, Shaanxi University of Science and Technology, Xi'an, China.
Weiwei WangSchool of Advanced Materials and Nanotechnology, Xidian University, Xi'an, China.
Jinming GuoCenter of Electron Microscopy, Ministry of Education Key Laboratory of Green Preparation and Application for Functional Materials, School of Materials Science and Engineering, Hubei University, Wuhan, China.ORCID https://orcid.org/0000-0003-2556-709X Jiwei ZhaiShanghai Key Laboratory for R&D and Application of Metallic Functional Materials, Functional Materials Research Laboratory, School of Materials Science and Engineering, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0002-0020-3524 Funding
National Natural Science Foundation of China 22003049National Natural Science Foundation of China 52302151National Natural Science Foundation of China 52402264Natural Science Basic Research Program of Shaanxi Province 2025JC-YBQN-171Research Fund of Shaanxi Key Laboratory of Green Preparation and Functionalization for Inorganic Materials SKL011Shandong Natural Science Foundation Youth Foundation ZR202211300206Start-up Foundation of Xidian University 10251220008Xidian University Specially Funded Project for Interdisciplinary Exploration TZJH2024054
6 · The paper itselfAbstract
Dielectric capacitors offering ultrafast charge-discharge capability and superior reliability are essential for advanced electronic systems, but achieving both high energy density and efficiency within simple and eco-friendly compositions remains a great challenge. Here, guided by machine learning, we achieve high-efficiency and thermally stable capacitive energy storage in strontium titanate-based ceramics. Through synergistic local structural engineering and optimized fabrication process, the materials exhibit enhanced polarization, reduced hysteresis loss, and improved breakdown strength. The designed materials deliver an ultrahigh energy density of 10.69 J cm
Indexed as
dielectric capacitorsenergy storage performancelead‐free ceramicspolarization characteristicthermal stability
Identifiers
PMID42371681
PMCPMC13432275
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