| Phynet: Physics guided neural networks for particle drag force prediction in assembly N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne Proceedings of the 2020 SIAM International Conference on Data Mining, 559-567, 2020 | 55 | 2020 |
| Physics-guided deep learning for drag force prediction in dense fluid-particulate systems N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne Big Data 8 (5), 431-449, 2020 | 34 | 2020 |
| Investigation of drag, lift and torque for fluid flow past a low aspect ratio (1: 4) cylinder Z Cao, DK Tafti Computers & Fluids 177, 123-135, 2018 | 30 | 2018 |
| Physics-guided design and learning of neural networks for predicting drag force on particle suspensions in moving fluids N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne arXiv preprint arXiv:1911.04240, 2019 | 22 | 2019 |
| Development of drag correlation for suspensions of ellipsoidal particles Z Cao, DK Tafti, M Shahnam Powder technology 369, 298-310, 2020 | 21 | 2020 |
| Deep learning methods for predicting fluid forces in dense particle suspensions NR Ashwin, Z Cao, N Muralidhar, D Tafti, A Karpatne Powder Technology 401, 117303, 2022 | 17 | 2022 |
| Modeling drag force in ellipsoidal particle suspensions with preferential orientation Z Cao, DK Tafti, M Shahnam Powder technology 378, 274-287, 2021 | 16 | 2021 |
| Fluid forces and torques in suspensions of oblate cylinders with aspect ratio 1: 4 Z Cao, DK Tafti International Journal of Multiphase Flow 131, 103394, 2020 | 12 | 2020 |
| Characterization of lift force and torque in prolate ellipsoid suspensions Z Cao, DK Tafti Powder Technology 405, 117553, 2022 | 6 | 2022 |
| Convective heat transfer in suspensions of prolate ellipsoids Z Cao, DK Tafti International Journal of Heat and Mass Transfer 177, 121575, 2021 | 4 | 2021 |
| Analysis of multiphase heat transfer of TA2/Q235B clad plate subjected to impinging liquid jet cooling G Liu, Y Yang, DK Tafti, X Ye, Z Cao, D Zhu Heat Transfer Engineering 42 (17), 1473-1488, 2021 | 4 | 2021 |
| Phyflow: Physics-guided deep learning for generating interpretable 3D flow fields N Muralidhar, J Bu, Z Cao, N Raj, N Ramakrishnan, D Tafti, A Karpatne 2021 IEEE International Conference on Data Mining (ICDM), 1246-1251, 2021 | 3 | 2021 |
| Prediction of Cavity Length Using an Interpretable Ensemble Learning Approach G Guo, S Li, Y Liu, Z Cao, Y Deng International Journal of Environmental Research and Public Health 20 (1), 702, 2022 | 2 | 2022 |
| Numerical simulation of vortex shedding from rectangular cylinders with different elongation ratios J Wu, Y Liu, D Zhang, Z Cao, Z Li Fluid Dynamics Research 55 (1), 015503, 2023 | 1 | 2023 |
| Numerical investigation of vortex shedding from a 5: 1 rectangular cylinder at different angles of attack J Wu, Y Liu, D Zhang, Z Cao, Z Guo Journal of Marine Science and Engineering 10 (12), 1913, 2022 | 1 | 2022 |
| Particle scale investigation of influencing factors on heat transfer in nonspherical particle–fluid system Z Cao, DK Tafti Journal of Heat Transfer 144 (8), 082701, 2022 | 1 | 2022 |
| Spatio-temporal water height prediction for dam break flows using deep learning Y Deng, D Zhang, Z Cao, Y Liu Ocean Engineering 302, 117567, 2024 | | 2024 |
| Physics informed deep learning for flow and force predictions in dense ellipsoidal particle suspensions NR Ashwin, D Tafti, N Muralidhar, Z Cao Powder Technology 439, 119684, 2024 | | 2024 |
| An accurate and efficient deep learning model for spatio-temporal prediction of interfacial flows Y Deng, D Zhang, Z Cao, Y Liu Physics of Fluids 36 (4), 2024 | | 2024 |
| Chaotic Characteristic Analysis of Spillway Radial Gate Vibration under Discharge Excitation Y Lu, Y Liu, D Zhang, Z Cao, X Fu Applied Sciences 14 (1), 99, 2023 | | 2023 |
Danesh TaftiMechanical Engineering Department, Virginia TechZweryfikowany adres z vt.edu
