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Yin, Wan-Jian; Liu, Miao; Gong, Xin-Gao (2025) Paradigm shift in materials science driven by artificial intelligence: methods, platforms, and frontiers of applications. Chinese Science Bulletin, 70 (24). doi:10.1360/csb-2025-5311

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Reference TypeJournal (article/letter/editorial)
TitleParadigm shift in materials science driven by artificial intelligence: methods, platforms, and frontiers of applications
JournalChinese Science Bulletin
AuthorsYin, Wan-JianAuthor
Liu, MiaoAuthor
Gong, Xin-GaoAuthor
Year2025 (August 1)Volume70
Issue24
PublisherScience China Press., Co. Ltd.
DOIdoi:10.1360/csb-2025-5311Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID18831746Long-form Identifiermindat:1:5:18831746:8
GUID0
Full ReferenceYin, Wan-Jian; Liu, Miao; Gong, Xin-Gao (2025) Paradigm shift in materials science driven by artificial intelligence: methods, platforms, and frontiers of applications. Chinese Science Bulletin, 70 (24). doi:10.1360/csb-2025-5311
Plain TextYin, Wan-Jian; Liu, Miao; Gong, Xin-Gao (2025) Paradigm shift in materials science driven by artificial intelligence: methods, platforms, and frontiers of applications. Chinese Science Bulletin, 70 (24). doi:10.1360/csb-2025-5311
In(2025, August) Chinese Science Bulletin Vol. 70 (24). Science China Press., Co. Ltd.

References Listed

These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.

Feng J, Zhou K, Li M, et al. Construction and application of materials database under data-driven research paradigm (in Chinese). Chin Sci Bull, 2025, 70: 4044–4065 [封俊杰, 周琨, 李木琛, 等. 数据驱动研究范式下材料数据库的构建与应用. 科学通报, 2025, 70: 4044–4065].
Zhang L, Liu M, Yuan H, et al. AI-driven new materials development and data standardization (in Chinese). Chin Sci Bull, 2025, 70:4066–4080 [张澜庭, 刘明洋, 袁宏建, 等. AI驱动的新材料智能研发与数据标准化. 科学通报, 2025, 70: 4066–4080].
Li J, Tan G, Jia W. Strong scaling of molecular dynamics simulations with ab initio accuracy (in Chinese). Chin Sci Bull, 2025, 70: 4109–4115 [李剑雄, 谭光明, 贾伟乐. 第一性原理精度的分子动力学模拟强可扩展性研究. 科学通报, 2025, 70: 4109–4115].


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