Water purification for developing countries
Developing a Multi-functional CNC Purification and Machine Learning Implementation Strategy for Adoption in Clean Water Deficit Regions
This research develops a cellulose nanocrystal (CCM) filter puck that achieves ~99% pollutant reduction for small-scale water purification in clean-water-deficit regions. A deep learning model was built to predict global water quality and viability, supporting where CCM filtration could be implemented.
