A research team led by Drs. Christoph Ortner (Mathematics), Joerg Rottler (Physics), and Chad Sinclair (Materials Engineering) were awarded postdoctoral funding from the UBC Data Science Institute. This project will develop and standardize methodology to quickly generate new robust machine-learned potential models (MLPs) to accelerate the advancement of new sustainable technologies. The hope is that the methods developed will significantly reduce environmental and ecological risks by bringing green technologies to market quickly.