Litcius/Paper detail

A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain

Kairui Bao, Wen Yao, Xiaoya Zhang, Wei Peng, Yu Li

2022Structural and Multidisciplinary Optimization19 citationsDOI

Topics & Concepts

Surrogate modelComputer scienceField (mathematics)Convolutional neural networkAlgorithmArtificial intelligenceMathematical optimizationMathematicsMachine learningPure mathematicsModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignHeat Transfer and Optimization
A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain | Litcius