| 王兆然.迈向自主科学发现：美国智能实验室建设情况和发展趋势[J].全球科技经济瞭望,2025,40(7):36~43 |
| 迈向自主科学发现：美国智能实验室建设情况和发展趋势 |
| Towards Self-driving Scientific Discovery: The Current State and Development Trends of Intelligent Laboratory in the United States |
| 投稿时间：2025-05-20 |
| DOI：10.3772/j.issn.1009-8623.2025.07.005 |
| 中文关键词: 智能实验室；人工智能；自主实验；科学发现；实验室自动化 |
| 英文关键词: intelligent laboratory; artificial intelligence; self-driving experimentation; scientific discovery; laboratory automation |
| 基金项目: |
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| 摘要点击次数: 16 |
| 全文下载次数: 16 |
| 中文摘要: |
| 智能实验室以人工智能、大数据和实验室自动化为核心，在科学假设生成、实验路径优化和数
据收集分析等环节实现闭环自动化，这种新兴的范式成为材料科学、化学、生物学等学科的前沿热点。
美国在智能实验室领域布局积极，联邦政府多个科技管理部门正着手推动人工智能科学模型、智能实验
室建设，OpenAI、谷歌等推出协作科学家平台。智能实验室为数据驱动的科学研究“第四范式”提供强
劲动力，正朝通用机器人科学家、高通量自主（self-driving）科学设施和分布式云端实验室方向演进。 |
| 英文摘要: |
| Intelligent laboratories, integrating artificial intelligence, big data, and laboratory automation, enable
closed-loop automation across key stages of scientific research, including hypothesis generation, experimental
pathway optimization, and data collection and analysis. These systems have become an emerging research
frontier in materials science, chemistry, and biology. In the United States, multiple federal science and technology
agencies are advancing initiatives on AI-driven scientific models and intelligent laboratory development,
while organizations such as OpenAI and Google have introduced collaborative scientist platforms. As a core
enabler of the data-driven “fourth paradigm” of scientific discovery, intelligent laboratories are evolving toward
general-purpose robotic scientists, high-throughput self-driving research facilities, and distributed cloud-based
laboratories. |
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