Web-based Machine Learning Tool for Material Discovery and Property Prediction
20 Aug 2019 | | Contributor(s):: Bryan Arciniega, Mackinzie S Farnell, Nicolae C Iovanac, Brett Matthew Savoie
Machine Learning models present a transformative method of optimization and prediction in science and engineering research. In the chemical sciences, unsupervised deep learning models such as autoencoders have shown to be useful for property prediction and material...
[Illinois] CNST 2012: Physicochemical Property and (ROS)-generating Capacity Relationship
02 Jun 2013 | | Contributor(s):: Hong Yang