数据与计算发展前沿 ›› 2024, Vol. 6 ›› Issue (4): 173-181.

CSTR: 32002.14.jfdc.CN10-1649/TP.2024.04.015

doi: 10.11871/jfdc.issn.2096-742X.2024.04.015

• 技术与应用 • 上一篇    下一篇

化学自动合成机器态势分析及进展研究

鞠华俊1(),王海名2,周秋菊2,边文越2,*()   

  1. 1.中国化学会，北京 100190
    2.中国科学院科技战略咨询研究院，北京 100190
  • 收稿日期:2023-09-04 出版日期:2024-08-20 发布日期:2024-08-20
  • 通讯作者: *边文越（E-mail: bianwenyue@casisd.cn）
  • 作者简介:鞠华俊，中国化学会，高级工程师，博士，学术交流主管，长期从事学术交流管理和化学学科发展跟踪。
    本文负责论文初稿撰写与修订。
    JU Huajun, Ph.D., is the director of academic exchanges of the Chinese Chemical Society and has long been engaged in academic exchange management and the development of chemical disciplines.
    In this paper, she is responsible for the paper drafting and revision.
    E-mail: juhuajun@iccas.ac.cn|边文越，中国科学院科技战略咨询研究院，副研究员，博士，主要从事化学和纳米科技领域发展战略研究。
    本文负责论文的总体设计和指导。
    Bian Wenyue, Ph.D., is an associated professor at the Institutes of Science and Development, Chinese Academy of Sciences, and has been engaging in the R&D policy for the fields of chemistry and nanotechnology.
    In this paper, he is responsible for the overall design and direction.
    E-mail: bianwenyue@casisd.cn
  • 基金资助:
    中国科学院科技战略咨询研究院前沿探索计划资助项目“重大科学问题研究态势分析研判情报学研究方法”

Situation Analysis and Progress Research of Chemical Automatic Synthesis Machine

JU Huajun1(),WANG Haiming2,ZHOU Qiuju2,BIAN Wenyue2,*()   

  1. 1. Chinese Chemical Society, Beijing 100190, China
    2. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2023-09-04 Online:2024-08-20 Published:2024-08-20

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摘要：

【目的】 化学自动合成机器是重大前沿科学问题，涉及合成科学、信息科学、计算机科学等多个学科。准确分析、研判其研究态势，是我国精准布局该领域研究的重要前提和基础。【方法】 首先，基于各国战略规划、项目部署和研究产出数据，本文使用文献计量方法将化学自动合成机器研究分解为4个方面。然后，根据各方面的特点，有针对性地选择数据和分析策略，揭示4个方面各自的研究态势。最后，基于4个方面的相互关系和权重，综合成整体研判结果。【结论】 在化学自动合成机器研究领域，欧美处于全面领先的位置。我国虽然在自动化技术方面追上国际领先水平，但在算力、算法、数据方面还存在一定差距。

关键词: 自动合成, 自动化, 算法, 算力, 数据

Abstract:

[Objective] Chemical automatic synthesis machine is a major frontier scientific problem involving synthetic science, information science, computer science, and other disciplines. Accurately analyzing and judging its research trend is an important premise and foundation for China's accurate layout of research in this field. [Methods] First, based on the strategic planning, project deployment, and research output data of various countries, this paper uses bibliometric methods to decompose the research of chemical automatic synthesis machines into four aspects. Then, according to the characteristics of various aspects, the data and analysis strategies are selected in a targeted manner, revealing the research trends of the four aspects. Finally, based on the interrelationship and weight of the four aspects, the overall research and judgment results are synthesized. [Conclusion] In the field of chemical automatic synthesis machine research, Europe and the United States are in a comprehensive leading position. Although China has caught up with the international leading level in automation technology, there are still some gaps in computing power, algorithms, and data.

Key words: automatic synthesis, automation, algorithm, hash power, data