Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation dataLuning Sun, Jianxun Wang, Han Gao et al.|Computer Methods in Applied Mechanics and Engineering|2019Cited by 972
PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domainHan Gao, Jianxun Wang, Luning Sun|Journal of Computational Physics|2020Cited by 577
Physics-constrained bayesian neural network for fluid flow reconstruction with sparse and noisy dataLuning Sun, Jianxun Wang|Theoretical and Applied Mechanics Letters|2020Cited by 202
Machine learning-assisted exploration of thermally conductive polymers based on high-throughput molecular dynamics simulationsRuimin Ma, Tengfei Luo, Luning Sun et al.|Materials Today Physics|2022Cited by 70
High expression of ABCG2 is associated with chemotherapy resistance of osteosarcomaHao Shu, Luning Sun|Journal of Orthopaedic Surgery and Research|2021Cited by 13