Human-AI synergy in adaptive active learning for continuous lithium carbonate crystallization optimization
The synergy of human expertise and AI-enabled active learning accelerated process optimization, enabling battery-grade lithium production from impurity-rich brines while enhancing the economic viability of low-grade resources.
Authors
- Jason E. Hein (ORCID: https://orcid.org/0000-0002-4345-3005)
- Corey A. Sanz (ORCID: https://orcid.org/0000-0002-3836-0744)
- Cara Cronin
- S. Shayan Mousavi Masouleh (ORCID: https://orcid.org/0000-0003-0313-7590)
- Ryan P. Jansonius (ORCID: https://orcid.org/0000-0002-4014-2068)
- Jason Hattrick‐Simpers (ORCID: https://orcid.org/0000-0003-2937-3188)
Institutions
- Natural Resources Canada (CA)
- National Research Council Canada (CA)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00285k
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Resources Canada