6 citations · 13 across the 6 of their papers we have counts for
Showing 2020 · cond-mat.mtrl-sciShow all
2 papers · 2 filters
cond-mat.mtrl-sci2020
Lattice Thermal Conductivity Prediction using Symbolic Regression and Machine Learning
Christian Loftis, Kunpeng Yuan, Yong Zhao +2
Prediction models of lattice thermal conductivity have wide applications in the discovery of thermoelectrics, thermal barrier coatings, and thermal management of semiconductors. kL…
cond-mat.mtrl-sci2020
Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks
Yong Zhao, Kunpeng Yuan, Yinqiao Liu +3
Materials representation plays a key role in machine learning based prediction of materials properties and new materials discovery. Currently both graph and 3D voxel representation…