Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation
Andrew Ritchhart1, Sarah I Allec1, Pravalika Butreddy1
1Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, USA. maxim.ziatdinov@pnnl.gov.
Abstract:
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 optimization of efficient, adaptable, and scalable separations to a timeline of days, rather than months and years.
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