ICL Research Profile

Overview

The project “Membrane separations of f-block elements utilizing rhamnolipid-based chelants. A joint experimental and computational investigation” is funded by the Department of Energy Small Business Technology Transfer (STTR), and it focuses on using machine learning to design better membranes to enable REE separations.

This effort is within technology areas relevant to the DOE Office of Sciences seeking to optimize selectivity and rate of extraction or rejection using AI/ML methodology membrane synthesis design, experimental design, and data analytics. The R&D is intended to lead to hybrid models that incorporate fundamental mechanisms and lead to feasible material structures that would be readily synthesizable for large-scale processes and complex systems.

The team includes The University of Tennessee and GlycoSurf, LLC.