Prediction by TL (image) Research Organization of Information and Systems Share Print E-Mail Caption Thermophysical properties (i.e., thermal conductivity) of polymers predicted by transfer learning (TL). The joint research group succeeded in constructing a machine learning model capable of the extrapolative prediction of three new polymers that resided in far tails of the training data distribution (Yamada, Liu and others; ACS Central Science 2019). This was achieved by subjecting pre-trained models (e.g., models of the glass transition temperatures of polymers and of the specific heat capacities of small molecules) in the XenonPy.MDL library to transfer learning using only 19 sets of training data on the thermal conductivity of polymers. Credit Ryo Yoshida Usage Restrictions Only for use with reports of this research. Share Print E-Mail Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.