| Deep learning-based surrogate model for three-dimensional patient-specific computational fluid dynamics P Du, X Zhu, JX Wang Physics of Fluids 34 (8), 2022 | 29 | 2022 |
| Assessment of sulfur trioxide formation due to enhanced interaction of nitrogen oxides and sulfur oxides in pressurized oxy-combustion X Wang, GS Yablonsky, Z ur Rahman, Z Yang, P Du, H Tan, RL Axelbaum Fuel 290, 119964, 2021 | 20 | 2021 |
| Synergistic SOx/NOx chemistry leading to enhanced SO3 and NO2 formation during pressurized oxy-combustion X Wang, A Adeosun, G Yablonsky, A Gopan, P Du, RL Axelbaum Reaction Kinetics, Mechanisms and Catalysis 123, 313-322, 2018 | 18 | 2018 |
| A semi-analytical solution and AI-based reconstruction algorithms for magnetic particle tracking H Wu, P Du, R Kokate, JX Wang Plos one 16 (7), e0254051, 2021 | 9 | 2021 |
| Numerical drag prediction of NASA Common Research Models using different turbulence models P Du, RK Agarwal Computers & Fluids 191, 104238, 2019 | 6 | 2019 |
| Drag Prediction of NASA Common Research Models Using Different Turbulence Models P Du, RK Agarwal 35th AIAA Applied Aerodynamics Conference, 4233, 2017 | 4 | 2017 |
| CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence P Du, MH Parikh, X Fan, XY Liu, JX Wang arXiv preprint arXiv:2403.05940, 2024 | 3 | 2024 |
| Reducing Geometric Uncertainty in Computational Hemodynamics by Deep Learning-Assisted Parallel-Chain MCMC P Du, JX Wang Journal of Biomechanical Engineering 144 (12), 121009, 2022 | 2 | 2022 |
| A neural network-based algorithm for the reconstruction and filtering of single particle trajectory in magnetic particle tracking M Prashanth, P Du, J Wang, H Wu Review of Scientific Instruments 95 (5), 2024 | | 2024 |
| A neural network-based model for magnetic particle tracking and its application in the study of fluidization H Wu, M Prashanth, P Du, J Wang Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Deep learning-based surrogate model for 3-D patient-specific computational fluid dynamics P Du, X Zhu, JX Wang arXiv preprint arXiv:2204.08939, 2022 | | 2022 |
| AI-based Hybrid Model for Denoising Particle Trajectories Reconstructed from Magnetic Particle Tracking Method MN Prashanth, P Du, JX Wang, H Wu AIAA SCITECH 2022 Forum, 1162, 2022 | | 2022 |
| Group sparse Bayesian learning for data-driven discovery of explicit model forms with multiple parametric datasets L Sun, P Du, H Sun, JX Wang Numerical Algebra, Control and Optimization, 2022 | | 2022 |
| Denoising particle trajectories containing measurement uncertainties from magnetic particle tracking using neural networks MN Prashanth, P Du, JX Wang, H Wu APS Division of Fluid Dynamics Meeting Abstracts, P20. 002, 2021 | | 2021 |
| Fast surrogate of 3-D patient-specific computational fluid dynamics using statistical shape modeling and deep Learning P Du, X Zhu, JX Wang APS Division of Fluid Dynamics Meeting Abstracts, H14. 001, 2021 | | 2021 |
| Computational simulation of aortic dissection with a comparison with 4D flow MRI P Du, N Burris, J Sotelo, J Wang APS Division of Fluid Dynamics Meeting Abstracts, W07. 012, 2020 | | 2020 |
Jian-Xun WangRobert W. Huether Collegiate Assoc. Professor, University of Notre Dame在 nd.edu 的电子邮件经过验证
