Work

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

Year: 2026

Type: article

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.

Source: Materials Horizons

DOI: 10.1039/d6mh00475j

Authors: Andrew Ritchhart, Sarah I. Allec, Pravalika Butreddy, Krista Kulesa, Qingpu Wang, Dan Thien Nguyen, Maxim Ziatdinov, Elias Nakouzi

Institutions: Pacific Northwest National Laboratory, University of Washington

Language: English

Topic: Extraction and Separation Processes

Subfield: Metals and Alloys

Field: Materials Science

Domain: Physical Sciences

SDGs: Responsible consumption and production, Clean water and sanitation

Open Access status: hybrid

Funders: U.S. Department of Energy, Battelle, Royal Society of Chemistry, Laboratory Directed Research and Development, Pacific Northwest National Laboratory

Awards: G125460123, G138090931, G1724155629, G1899721271, G2270264153, G2506945562, G2510423872, G2988778103, G391136020, G5321382714, G5726405315, G7665161096, G8135867528

OpenAlex ID: W7161993500

FWCI: 5.903

Cites: 24

Cited by: 4

Related to: 10