对分布式自动驾驶实验室采用动态知识图的方法
Jiaru Bai1, Sebastian Mosbach1,2, Connor J Taylor3,4,5
1Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK.
Nature communications
|January 23, 2024
概括
科学家现在可以通过连接分布式自动驾驶实验室来加速发现. 这种架构使实时,协作研究,优化实验和推进全球科学解决方案成为可能.
科学领域:
- 人工智能的人工智能
- 机器人技术 机器人技术 机器人技术
- 化学信息学 化学信息学
- 数字双胞胎是一个数字双胞胎.
背景情况:
- 科学发现通过资源整合和跨组织的知识共享来加速.
- 全球挑战需要协作,全球分布的科学解决方案.
- 世界阿凡达项目旨在使用动态知识图来创建一个全面的数字双胞胎.
研究的目的:
- 开发分布式自动驾驶实验室的架构.
- 让自主代理人能够管理设计-制造-测试-分析实验工作流.
- 确保数据来源可查找性,可访问性,互操作性和可重复使用性 (FAIR数据原则).
主要方法:
- 利用本体学来捕获实验周期内的数据和材料流.
- 雇佣了自主代理作为工作流执行的可执行知识组件.
- 实现了一个动态的知识图表来表示和发展研究目标.
主要成果:
- 成功连接了剑桥和新加坡的两个机器人,实现实时的闭环优化.
- 在三天内实现了帕雷托前线生成,以优化阿尔多尔凝结反应的成本收益.
- 证明知识图向科学目标的自主演变.
结论:
- 开发的架构促进了分布式的,协作性的科学发现.
- 在知识图中集成的自动驾驶实验室可以显著加快研究.
- 这种方法为应对复杂的全球科学挑战提供了可扩展的解决方案.
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