AI驱动多智能体流程,用简单化学剂从废水中高效回收关键材料
Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation
- 部署多个AI智能体与自动化设备协同作业
- 在真实原料中实现选择性沉淀,周期缩短至数天
- 适合资源回收、环保工程等领域快速部署
我们提出一种多智能体工作流,用于从产出水和磁选浸出液中回收关键材料。该方法通过一系列AI智能体与自动化仪器协同,利用简单化学品实现对真实原料的选择性沉淀,将高效、可适应、可扩展分离技术的研发周期从数月甚至数年缩短至数天。
原文摘要 · Abstract (English)
We present a multi-agentic workflow for critical materials recovery that deploys a series of AI agents and automated instruments to recover critical materials from produced water and magnet leachates. This approach achieves selective precipitation from real-world feedstocks using simple chemicals, accelerating the development of efficient, adaptable, and scalable separations to a timeline of days, rather than months and years.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。