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材料基因工程与智能科学:AI+时代无尽前沿
Materials genome engineering and intelligent science: The endless frontier in AI+ era
【摘要】 面向2040现代化强国发展战略需求,以新材料、新质生产力和新产业融合发展为驱动,全面梳理强国战略和相关国家政策与行动纲要对前沿性-颠覆性关键技术和关键材料发展的共性需求,阐述了材料基因工程核心关键技术的发展与革新为人工智能数据基础设施、材料大模型基座、新材料研发及其产业应用等关键核心技术创新奠定重要基础。人工智能将进一步促进高通量智能计算软件/工具的开发、从高通量实验到自主实验范式革新并加速材料智能体的发展、数据资源节点和平台与数据标准规范的建设、新质生产力和新材料产业发展以及教育范式变革和新一代生力军培养。材料基因工程与智能科学的融合,正在以“理论重构、技术赋能、产业牵引”三位一体模式,重塑材料科学与技术以及教育的底层逻辑。它不仅是单一学科的升级,更是一场涉及科研范式、产业生态和人才培养模式的系统性变革,将为新材料、新兴产业和未来产业等重点领域培养复合型人才。
【Abstract】 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.
【Key words】 materials genome engineering; artificial intelligence; large language model; digital twin; AI agent;
- 【文献出处】 科技导报 ,Science & Technology Review , 编辑部邮箱 ,2025年12期
- 【分类号】TB30;TP18
- 【下载频次】60