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Practical uncertainty quantification for space-dependent inverse heat conduction problem via ensemble physics-informed neural networks

Xinchao Jiang, Xin Wang, Ziming Wen, Enying Li, Hu Wang

2023International Communications in Heat and Mass Transfer57 citationsDOI

Topics & Concepts

Thermal conductionInverse problemInversion (geology)Artificial neural networkComputer scienceUncertainty quantificationInverseStatistical physicsSampling (signal processing)Mathematical optimizationAlgorithmMachine learningApplied mathematicsPhysicsMathematicsQuantum mechanicsMathematical analysisStructural basinPaleontologyComputer visionGeometryFilter (signal processing)BiologyModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignStructural Health Monitoring Techniques
Practical uncertainty quantification for space-dependent inverse heat conduction problem via ensemble physics-informed neural networks | Litcius