Not from Scratch: Predicting Thermophysical Properties through Model-Based Transfer Learning Using Graph Convolutional Networks
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DOI: 10.1021/acs.jcim.2c00846
Abstract: In this study, a framework for the prediction of thermophysical properties based on transfer learning from existing estimation models is explored. The predictive capabilities of conventional group-contribution methods and traditional machine-learning approaches rely heavily on… read more here.
Keywords: scratch predicting; based transfer; transfer learning; thermophysical properties ... See more keywords