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A machine learning methodology to investigate the lattice thermal conductivity of defected PbTe

Mi Qin, Xuemei Zhang, Jianbo Zhu, Yuming Yang, Zhuoyang Ti, Yaoling Shen, Xianlong Wang, Xiaobing Liu, Yongsheng Zhang

2023Journal of Materials Chemistry A24 citationsDOI

Abstract

Defect engineering, used to scatter phonons, is a widely used methodology to suppress the lattice thermal conductivity and improve the thermoelectric performance.

Topics & Concepts

Thermal conductivityPhononMaterials scienceLattice (music)Thermoelectric effectThermoelectric materialsThermalCondensed matter physicsMechanical engineeringComputer scienceEngineering physicsComposite materialEngineeringPhysicsThermodynamicsAcousticsAdvanced Thermoelectric Materials and DevicesThermal properties of materialsMachine Learning in Materials Science
A machine learning methodology to investigate the lattice thermal conductivity of defected PbTe | Litcius