265 citations · 443 across the 6 of their papers we have counts for
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physics.comp-ph2019★ 2 cited
Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures
Manav Ramprasad, Chiho Kim
The success of the Materials Genome Initiative has led to opportunities for data-driven approaches for materials discovery. The recent development of Polymer Genome (PG), which is…
cond-mat.mtrl-sci2019★ 5 cited
Machine Learning Models for the Lattice Thermal Conductivity Prediction of Inorganic Materials
Lihua Chen, Huan Tran, Rohit Batra +2
The lattice thermal conductivity () is a critical property of thermoelectrics, thermal barrier coating materials and semiconductors. While accurate empirical measuremen…