most citedLattice Thermal Conductivity Prediction using Symbolic Regression and Machine Learning

80 citations · 120 across the 2 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

2 papers · 1 filter

cond-mat.mtrl-sci2020★ 80 cited

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★ 40 cited

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…