Grant: Alliance Grants

With over two billion people lacking access to safe water, the utilization of desalination processes holds significant potential for obtaining fresh water from saline sources. However, the widely utilized reverse osmosis (RO) desalination process is inefficient for high-salinity streams. In contrast, membrane distillation (MD) offers a potential solution for desalinating highly saline brines. Nevertheless, the full commercialization of MD has been hindered by the absence of sustainable membranes. The proposed research aims to address the global issue of water scarcity by developing advanced tools and models that employ artificial intelligence (AI) to characterize and optimize MD membranes. The research objectives encompass the creation of an open-source tool for accurately estimating Wetting Resistance and Permeability, two critical factors influencing MD membrane performance. Additionally, the research team seeks to develop an optimization algorithm capable of maximizing Wetting Resistance and Permeability by modifying essential aspects of the membrane's three-dimensional structure, thereby achieving an optimal membrane design for enhanced efficiency. By expediting the discovery of efficient membrane design, this research contributes to global and domestic efforts in addressing water scarcity. Canada itself faces water challenges, including droughts and inadequate access to clean drinking water in First Nations communities. Aligned with Canada's mission in water-related technologies, this research promotes sustainability, enhances research capabilities, fosters the development of water management technologies, and supports the well-being and prosperity of Canadian communities. In conclusion, this research has the potential to drive significant advancements in membrane design and water treatment technology, benefiting Canada's water sector and effectively addressing global water scarcity challenges.