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大模型驱动、人机协同的机器化学家云设施

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  • NETL
  • NSTL
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  • 维普
在当前由人工智能引发的科技浪潮中,化学科学研究面临着前所未有的机遇和挑战.为推动化学研究范式的变革,文章提出了机器化学家云设施的建设方案.该系统通过收集多通道数据构建数据库、发展化学知识增强的科学大模型、建设机器人设施集群及搭建智能管理决策系统,践行科研新范式,大幅度提升科研效率,解决终端应用的科学问题.这一基础设施有望推动科研范式变革,在化学领域取得重大科学突破.
Large model-driven,human-computer collaborative robotic AI-chemist cloud facility
At present,chemical science is facing unprecedented opportunities and challenges due to the technological changes brought by artificial intelligence.In order to promote the paradigm shift in chemical research,this study proposes the construction plan of the robotic AI-chemist cloud facility.This system realizes a new paradigm of scientific research by collecting multi-channel data to build a database,developing large scientific models enhanced by chemical knowledge,constructing clusters of robotic facilities,and building an intelligent management decision system,which will dramatically improve the efficiency of scientific research and solve scientific problems in terminal applications.This infrastructure is expected to change the paradigm of research and lead to major scientific breakthroughs in chemistry.

paradigm shift in chemical researchrobotic AI-chemist cloud facilityartificial intelligenceautomated experimentshuman-computer collaboration

崇媛媛、冯硕、王嵩、江俊

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中国科学技术大学 精准智能化学重点实验室 合肥 230026

化学研究范式变革 机器化学家云设施 人工智能 自动化实验 人机协作

国家杰出青年科学基金国家自然科学基金重点项目中国科学院稳定支持基础研究领域青年团队计划

2202530422033007YSBR-005

2024

10.16418/j.issn.1000-3045.20231205003

中国科学院院刊
中国科学院

中国科学院院刊

CSTPCDCSSCICHSSCD北大核心
影响因子：1.618
ISSN：1000-3045
年,卷(期)：2024.39(1)
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