Litcius/Paper detail

Prediction and optimization of the thermal transport in hybrid carbon-boron nitride honeycombs using machine learning

Yao Du, Penghua Ying, Jin Zhang

2021Carbon20 citationsDOI

Topics & Concepts

Thermal conductivityMaterials scienceBoron nitridePhononDopingThermalCarbon fibersPhonon scatteringCarbon nitrideInverseComposite materialComposite numberOptoelectronicsCondensed matter physicsThermodynamicsGeometryChemistryMathematicsPhysicsPhotocatalysisCatalysisBiochemistryThermal properties of materialsGraphene research and applicationsMachine Learning in Materials Science
Prediction and optimization of the thermal transport in hybrid carbon-boron nitride honeycombs using machine learning | Litcius