AI Agents 相关度: 9/10

Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation

Andrew Ritchhart, Sarah I. Allec, Pravalika Butreddy, Krista Kulesa, Qingpu Wang, Dan Thien Nguyen, Maxim Ziatdinov, Elias Nakouzi
arXiv: 2603.15491v1 发布: 2026-03-16 更新: 2026-03-16
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AI 摘要

提出了一种基于多智能体工作流的关键材料回收方法，加速分离过程。

主要贡献

  • 利用AI智能体和自动化仪器实现选择性沉淀
  • 从实际废水中回收关键材料
  • 缩短分离过程时间

方法论

采用多智能体工作流，结合AI算法和自动化设备，优化选择性沉淀工艺。

原文摘要

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.

标签

智能体 关键材料回收 选择性沉淀 自动化

arXiv 分类

cond-mat.mtrl-sci cs.AI