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A unified deep neural network potential capable of predicting thermal conductivity of silicon in different phases

Ruiyang Li, Eungkyu Lee, Tengfei Luo

2020Materials Today Physics100 citationsDOI

Topics & Concepts

Thermal conductivityMaterials scienceSiliconArtificial neural networkAb initioMolecular dynamicsPhase transitionWork (physics)Field (mathematics)ThermalPhase (matter)Amorphous solidForce field (fiction)Statistical physicsComputer scienceArtificial intelligenceThermodynamicsComputational chemistryPhysicsChemistryOptoelectronicsMathematicsComposite materialQuantum mechanicsPure mathematicsOrganic chemistryMachine Learning in Materials ScienceThermal properties of materialsSemiconductor materials and devices
A unified deep neural network potential capable of predicting thermal conductivity of silicon in different phases | Litcius