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Materials genome engineering and intelligent science: The endless frontier in AI+ era
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Yi Wang William1, 2, Gaonan LI1, 2, Zhe LIU1, 2, Xingyu GAO3, Hongqiang WANG1, 2, Haifeng SONG3, Mingli YANG4, Yanjing SU5, *, Margulan Ibraimov6, Jinshan LI1, 2, *
Science & Technology Review | 2025, 43(12) : 93 - 109
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Science & Technology Review | 2025, 43(12): 93-109
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Materials genome engineering and intelligent science: The endless frontier in AI+ era
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Yi Wang William1, 2, Gaonan LI1, 2, Zhe LIU1, 2, Xingyu GAO3, Hongqiang WANG1, 2, Haifeng SONG3, Mingli YANG4, Yanjing SU5, *, Margulan Ibraimov6, Jinshan LI1, 2, *
Affiliations
  • 1. China-Kazakhstan Belt and Road Joint Laboratory on Materials Genome Engineering and Intelligent Science, Northwestern Polytechnical University, Xi'an 710072, China
  • 2. National Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi'an 710072, China
  • 3. Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
  • 4. Research Center for Materials Genome Engineering, Sichuan University, Chengdu 610065, China
  • 5. Beijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology Beijing, Beijing 100083, China
  • 6. Department of Solid State Physics and Nonlinear Physics, Al-Farabi Kazakh National University, Almaty 050040, Republic of Kazakhstan
Published: 2025-06-28 doi: 10.3981/j.issn.1000-7857.2025.05.00039
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Envisioning the strategic demands for building a modernized powerful nation in 2040 and motivated by the integrated development of new materials, new productive forces, and emerging industries, this manuscript comprehensively analyzes the common requirements of national strategies, relevant policies, and action outlines regarding frontier-disruptive core technologies and critical material development. Based on the advancement and innovation of Materials Genome Engineering's core technologies setting a crucial foundation for key innovations in AI data infrastructure, foundational material models, R&D of new materials, and industrial applications, AI will further accelerate the development of high-throughput intelligent computing software/tools, drive paradigm shifts from high-throughput experimentation to autonomous experimentation, propel the evolution of material AI agents, construct data resource nodes/platforms with standardized specifications, advance new productivity and novel material industries, as well as foster educational paradigm transformation and next-generation talent cultivation. The convergence of Materials Genome Engineering and intelligent science is fundamentally reshaping the underlying logic of material science, technology, and education through a trinity model consisted of ''theoretical reconstruction, technological empowerment, and industrial traction''. This integration represents not merely disciplinary upgrading, but a systematic transformation encompassing scientific paradigms, industrial ecosystems, and talent development models. It will cultivate interdisciplinary professionals crucial for strategic fields such as advanced materials, emerging industries, and future-oriented sectors.

materials genome engineering  /  artificial intelligence  /  large language model  /  digital twin  /  AI agent
Yi Wang William, Gaonan LI, Zhe LIU, Xingyu GAO, Hongqiang WANG, Haifeng SONG, Mingli YANG, Yanjing SU, Margulan Ibraimov, Jinshan LI. Materials genome engineering and intelligent science: The endless frontier in AI+ era[J]. Science & Technology Review, 2025 , 43 (12) : 93 -109 . DOI: 10.3981/j.issn.1000-7857.2025.05.00039
Year 2025 volume 43 Issue 12
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Article Info
doi: 10.3981/j.issn.1000-7857.2025.05.00039
  • Receive Date:2025-05-08
  • Online Date:2025-12-16
  • Published:2025-06-28
Article Data
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History
  • Received:2025-05-08
  • Revised:2025-06-09
Funding
Affiliations
    1. China-Kazakhstan Belt and Road Joint Laboratory on Materials Genome Engineering and Intelligent Science, Northwestern Polytechnical University, Xi'an 710072, China
    2. National Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi'an 710072, China
    3. Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
    4. Research Center for Materials Genome Engineering, Sichuan University, Chengdu 610065, China
    5. Beijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology Beijing, Beijing 100083, China
    6. Department of Solid State Physics and Nonlinear Physics, Al-Farabi Kazakh National University, Almaty 050040, Republic of Kazakhstan
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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