Litcius/Paper detail

Experimentally validated machine learning predictions of ultralow thermal conductivity for SnSe materials

Nikhil K. Barua, Andrew Golabek, Anton O. Oliynyk, Holger Kleinke

2023Journal of Materials Chemistry C20 citationsDOI

Abstract

Machine-learning (ML) models are used to predict optimal thermoelectric properties for efficient thermoelectric devices.

Topics & Concepts

Materials scienceThermal conductivityThermalConductivityComposite materialEngineering physicsThermodynamicsPhysical chemistryPhysicsChemistryAdvanced Thermoelectric Materials and DevicesMachine Learning in Materials ScienceThermal properties of materials
Experimentally validated machine learning predictions of ultralow thermal conductivity for SnSe materials | Litcius