New software tool shows clear advantage in water purity prediction
Published: 9 October 2025
Researchers from the University of Glasgow’s James Watt School of Engineering developed the tool, called the Environmental Buckingham Pi Neural Network, or EnviroPiNet. It uses machine learning techniques paired with sophisticated physical modelling to predict the ability of biofilters to remove organic carbon compounds from water with up to 90% accuracy. The tool is now available online for free use.