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High-throughput computational discovery of 3218 ultralow thermal conductivity and dynamically stable materials by dual machine learning models

Joshua Ojih, Chen Shen, Alejandro Rodriguez, Hongbin Zhang, Kamal Choudhary, Ming Hu

2023Journal of Materials Chemistry A16 citationsDOI

Abstract

Using dual machine learning models, we identified 3218 inorganic crystals with ultralow lattice thermal conductivity (LTC), which will be of great interest for technologically important applications such as thermal insulators and thermoelectrics.

Topics & Concepts

Thermal conductivityMaterials scienceDual (grammatical number)ThermalThroughputThermoelectric materialsLattice (music)Computer scienceComposite materialPhysicsThermodynamicsTelecommunicationsAcousticsWirelessLiteratureArtMachine Learning in Materials ScienceThermal properties of materialsAdvanced Thermoelectric Materials and Devices
High-throughput computational discovery of 3218 ultralow thermal conductivity and dynamically stable materials by dual machine learning models | Litcius