High-throughput screening of amorphous polymers with high intrinsic thermal conductivity <i>via</i> automated physical feature engineering
Xiang Huang, Shengluo Ma, Yunwen Wu, Chaoying Wan, Changying Zhao, Hong Wang, Shenghong Ju
Abstract
An interpretable informatics algorithm-assisted framework has been proposed and applied for the exploration of high thermal conductivity polymers by integrating automated physical feature engineering and symbolic regression.
Topics & Concepts
Feature (linguistics)Thermal conductivityPolymerFeature engineeringThroughputConductivityComputer scienceInformaticsAmorphous solidArtificial intelligenceMaterials sciencePattern recognition (psychology)Machine learningDeep learningEngineeringChemistryComposite materialElectrical engineeringPhysical chemistryOrganic chemistryWirelessTelecommunicationsLinguisticsPhilosophyMachine Learning in Materials ScienceThermal properties of materialsFuel Cells and Related Materials