| An algorithm for fast calculation of flow ensembles N Jiang, W Layton International Journal for Uncertainty Quantification 4 (4), 273-301, 2014 | 92 | 2014 |
| An Ensemble-Proper Orthogonal Decomposition Method for the Nonstationary Navier--Stokes Equations M Gunzburger, N Jiang, M Schneier SIAM Journal on Numerical Analysis 55 (1), 286–304, 2017 | 84 | 2017 |
| Numerical analysis of two ensemble eddy viscosity numerical regularizations of fluid motion N Jiang, W Layton Numerical Methods for Partial Differential Equations 31 (3), 630-651, 2015 | 73 | 2015 |
| A Higher Order Ensemble Simulation Algorithm for Fluid Flows N Jiang Journal of Scientific Computing 64 (1), 264-288, 2015 | 67 | 2015 |
| Analysis of Model Variance for Ensemble Based Turbulence Modeling N Jiang, S Kaya, W Layton Computational Methods in Applied Mathematics 15 (2), 173–188, 2015 | 52 | 2015 |
| An Efficient Algorithm for Simulating Ensembles of Parameterized Flow Problems M Gunzburger, N Jiang, Z Wang IMA Journal of Numerical Analysis 39, 1180-1205, 2019 | 50 | 2019 |
| A second‐order ensemble method based on a blended backward differentiation formula timestepping scheme for time‐dependent Navier–Stokes equations N Jiang Numerical Methods for Partial Differential Equations 33, 34-61, 2017 | 50 | 2017 |
| A Second-Order Time-Stepping Scheme for Simulating Ensembles of Parameterized Flow Problems M Gunzburger, N Jiang, Z Wang Computational Methods in Applied Mathematics 19, 681-701, 2019 | 42 | 2019 |
| An artificial compressibility ensemble algorithm for a stochastic Stokes-Darcy model with random hydraulic conductivity and interface conditions X He, N Jiang, C Qiu International Journal for Numerical Methods in Engineering 121, 712-739, 2020 | 41 | 2020 |
| An Efficient Ensemble Algorithm for Numerical Approximation of Stochastic Stokes-Darcy Equations N Jiang, C Qiu Computer Methods in Applied Mechanics and Engineering 343, 249-275, 2019 | 37 | 2019 |
| An optimally accurate discrete regularization for second order timestepping methods for Navier–Stokes equations N Jiang, M Mohebujjaman, L Rebholz, C Trenchea Computer Methods in Applied Mechanics and Engineering 310, 388-405, 2016 | 37 | 2016 |
| A higher-order ensemble/proper orthogonal decomposition method for the nonstationary Navier-Stokes equations M Gunzburger, N Jiang, M Schneier International Journal of Numerical Analysis and Modeling 15, 608-627, 2018 | 34 | 2018 |
| A Crank-Nicolson Leapfrog stabilization: Unconditional stability and two applications N Jiang, M Kubacki, W Layton, M Moraiti, H Tran Journal of Computational and Applied Mathematics 281, 263-276, 2015 | 31 | 2015 |
| An Artificial Compressibility Crank--Nicolson Leap-Frog Method for the Stokes--Darcy Model and Application in Ensemble Simulations N Jiang, Y Li, H Yang SIAM Journal on Numerical Analysis 59, 401-428, 2021 | 28 | 2021 |
| An Efficient, Partitioned Ensemble Algorithm for Simulating Ensembles of Evolutionary MHD Flows at Low Magnetic Reynolds Number N Jiang, M Schneier Numerical Methods for Partial Differential Equations 34, 2129-2152, 2018 | 24 | 2018 |
| SAV Decoupled Ensemble Algorithms for Fast Computation of Stokes-Darcy Flow Ensembles N Jiang, H Yang Computer Methods in Applied Mechanics and Engineering 387, 114150, 2021 | 21 | 2021 |
| Analysis and approximation of a fractional Laplacian-based closure model for turbulent flows and its connection to Richardson pair dispersion M Gunzburger, N Jiang, F Xu Computers & Mathematics with Applications 75 (6), 1973-2001, 2018 | 21 | 2018 |
| Algorithms and models for turbulence not at statistical equilibrium N Jiang, W Layton Computers & Mathematics with Applications 71 (11), 2352-2372, 2016 | 21 | 2016 |
| Stabilized Scalar Auxiliary Variable Ensemble Algorithms for Parameterized Flow Problems N Jiang, H Yang SIAM Journal on Scientific Computing 43, A2869-A2896, 2021 | 19 | 2021 |
| A Pressure-Correction Ensemble Scheme for Computing Evolutionary Boussinesq Equations N Jiang Journal of Scientific Computing 80, 315-350, 2019 | 19 | 2019 |
William LaytonProfessor, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
