AP-Lab:一个人工智能驱动的自主试点规模平台,将材料发现和工业制造联系起来
Zhan-Long Wang1,2, Zhifen Ma1, Wenxing Song3
1Center for Materials Artificial Intelligence, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|February 12, 2026
概括
我们开发了一个人工智能驱动的自主实验室 (AP-Lab),以加速材料制造. 该系统快速优化磁纳米颗粒用于核酸提取,大大减少了开发时间,并实现了大规模生产.
科学领域:
- 材料科学 材料科学 材料科学
- 生物技术是生物技术.
- 人工智能的人工智能
背景情况:
- 将人工智能驱动的材料发现转化为工业制造面临挑战,原因是有限的专有数据集和缺乏特定应用的基准.
- 目前制造业中先进材料的开发时间表很长,通常需要几个月.
研究的目的:
- 开发一个人工智能驱动的自主试验规模实验室 (AP-Lab) 工作站,以弥合材料研究和工业制造之间的差距.
- 为了证明AP-Lab在优化和扩大用于核酸 (NA) 提取的磁纳米粒子 (MNPs) 生产方面的能力.
主要方法:
- 该AP-Lab集成了四个代理控制系统:用户交互,优化方案生成,自主合成和测试以及数据管理.
- 利用本地化工业数据集和聚合酶链反应 (PCR) 周期值 (Ct) 值作为优化应用特定基准.
- 案例研究侧重于MNP用于病毒NA提取.
主要成果:
- 在三周内实现了在试点规模 (5万次试验/批) 中用于NA提取的MNP的快速优化.
- 在两个月内实现了100万次测试/批量规模化制造.
- 开发时间从4-6个月缩短到3周,性能超过领先的商业产品.
结论:
- AP-Lab为人工智能驱动的先进材料试点规模生产提供了一个可扩展的战略.
- 展示了一个可行的蓝图,以加速工业采用人工智能在材料制造.
- 成功优化并扩展了基于MNP的NA提取,突出了该系统的实际应用性.
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