294 citations · 458 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
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…
Machine Learning based prediction of noncentrosymmetric crystal materials
Yuqi Song, Joseph Lindsay, Yong Zhao +5
Noncentrosymmetric materials play a critical role in many important applications such as laser technology, communication systems,quantum computing, cybersecurity, and etc. However,…