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A physics-informed deep learning method for solving direct and inverse heat conduction problems of materials

Zhili He, Futao Ni, Weiguo Wang, Jian Zhang

2021Materials Today Communications111 citationsDOI

Topics & Concepts

Thermal conductionInverse problemInversion (geology)Heat transferArtificial neural networkMaterials scienceInverseThermalComputer scienceApplied mathematicsStatistical physicsThermodynamicsArtificial intelligencePhysicsMathematicsMathematical analysisGeometryPaleontologyComposite materialBiologyStructural basinModel Reduction and Neural NetworksHeat Transfer and OptimizationHeat Transfer Mechanisms
A physics-informed deep learning method for solving direct and inverse heat conduction problems of materials | Litcius