| A hybrid deep learning approach to vertexing R Fang, HF Schreiner, MD Sokoloff, C Weisser, M Williams Journal of Physics: Conference Series 1525 (1), 012079, 2020 | 7 | 2020 |
| On a 1/2-equation model of turbulence R Fang, W Han, W Layton arXiv preprint arXiv:2309.03358, 2023 | 4 | 2023 |
| Penalty Ensembles for Navier-Stokes with Random Initial Conditions & Forcing R Fang arXiv preprint arXiv:2309.12870, 2023 | 3 | 2023 |
| Numerical analysis of a 1/2-equation model of turbulence WW Han, R Fang, W Layton Physica D: Nonlinear Phenomena 471, 134428, 2025 | 2 | 2025 |
| Adaptive parameter selection in nudging based data assimilation A Çıbık, R Fang, W Layton, F Siddiqua Computer Methods in Applied Mechanics and Engineering 433, 117526, 2025 | 1 | 2025 |
| Numerical Analysis of Locally Adaptive Penalty Methods For The Navier-Stokes Equations R Fang arXiv preprint arXiv:2404.11712, 2024 | 1 | 2024 |
| Adaptive Parameter Selection in Nudging Based Data Assimilation A Çıbık, R Fang, W Layton, F Siddiqua arXiv preprint arXiv:2407.18886, 2024 | | 2024 |
| Numerical Analysis of Penalty-based Ensemble Methods R Fang arXiv preprint arXiv:2407.10012, 2024 | | 2024 |
| Adaptive Parameter Selection in Nudging Based Data Assimilation WJ Layton, R Fang, F Siddiqua, A Cibik Available at SSRN 4906104, 0 | | |
William LaytonProfessor, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
