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AI-Driven Discovery and Design of Selective Reagents and Ligands for Critical Minerals Extraction is sponsored by U.S. Department of Energy (DOE) (likely via Office of Science/Basic Energy Sciences). This project focuses on developing an intelligent framework powered by AI-accelerated quantum mechanical (QM) computations to investigate the electronic structure of critical minerals and the mineral-reagent interactions, as well as metal-ligand/extractant complexes.
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AI-Driven Discovery and Design of Selective Reagents and Ligands for Critical Minerals Extraction | Mineral-X AI-Driven Discovery and Design of Selective Reagents and Ligands for Critical Minerals Extraction Description: Critical minerals are essential for the global transition to clean energy and sustainability, with demand projected to increase by 500% by 2050.
Mineral processing technologies, including froth flotation as a physicochemical process and hydrometallurgical extraction as a chemical process, rely on chemical reagents (to modify the surface hydrophobicity of mineral particles) and ligands (to complex with metallic ions) to recover minerals and metals from complex ores, low-grade deposits, and industrial waste streams.
Current processing practices depend on trial-and-error selection of reagents, facing significant limitations in addressing the complexity and variability of mineral properties. These limitations often lead to low recovery rates, excessive reagent consumption, and adverse environmental impacts.
This project focuses on developing an intelligent framework powered by AI-accelerated quantum mechanical (QM) computations to investigate the electronic structure of critical minerals and the mineral-reagent interactions, as well as metal-ligand/ extractant complexes.
By targeting the subtle QM properties of minerals and metallic ions, the goal is to discover and design novel reagents and ligands tailored to specific mineral/ metal systems. The outcomes of this work aim to enable the selective and sustainable recovery of critical materials from both primary and secondary resources.
According to the current listing, eligibility includes: Not explicitly stated, but likely academic and research institutions given the nature of the research. Confirm the full requirements in the official notice before applying.
AI-Driven Discovery and Design of Selective Reagents and Ligands for Critical Minerals Extraction is funded by U.S. Department of Energy (DOE) (likely via Office of Science/Basic Energy Sciences). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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