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Papers

[1] Chen, X., Zhao, X. Gong, Z., Zhang,J., Chen, X., Yao, W., (2021) A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout, Science China-Physics, Mechanics & Astronomy. [paper]

[2] Chen X., Chen X., Zhou W., Zhang J., Yao W., (2020) The heat source layout optimization using deep learning surrogate modeling, Structural and Multidisciplinary Optimization, 62, 3127–3148. [paper]

[3] Zhao., X, Gong, Z., Zhang, J., Yao, W., Chen, X., (2021). A surrogate model with data augmentation and deep transfer learning for temperature field prediction of heat source layout. Structural and Multidisciplinary Optimization. [paper]

[4] Gong Z, Zhou W, Zhang J, et al, (2021). Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems[J]. arXiv preprint arXiv:2106.11929. [paper]

[5] Chen X, Gong Z, Zhao X, et al, (2021). A Machine Learning Modelling Benchmark for Temperature Field Reconstruction of Heat-Source Systems[J]. arXiv preprint arXiv:2108.08298. [paper]