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Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems.

, , , , , , и . Big Data, 8 (5): 431-449 (2020)

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Cheng Bu

Yuanshi Bu

Zhou Jie

Yucheng Jie

Ping Bu

 

Другие публикации лиц с тем же именем

Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation., , , , и . CoRR, (2023)Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems., , , , , , и . Big Data, 8 (5): 431-449 (2020)CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems., , , , , , , и . ACM Trans. Intell. Syst. Technol., 13 (6): 92:1-92:23 (2022)Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation., , и . CoRR, (2023)Robust multi-view subspace clustering based on consensus representation and orthogonal diversity., и . Neural Networks, (2022)Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs., и . SDM, стр. 675-683. SIAM, (2021)PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields., , , , , , и . ICDM, стр. 1246-1251. IEEE, (2021)Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)., , , и . NeurIPS, стр. 3491-3503. (2021)Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids., , , , , , и . CoRR, (2019)Rethinking the Importance of Sampling in Physics-informed Neural Networks., , , , и . CoRR, (2022)