| Adaptive ANOVA decomposition of stochastic incompressible and compressible flows X Yang, M Choi, G Lin, GE Karniadakis Journal of Computational Physics 231 (4), 1587-1614, 2012 | 159 | 2012 |
| Enabling high-dimensional hierarchical uncertainty quantification by ANOVA and tensor-train decomposition Z Zhang, X Yang, IV Oseledets, GE Karniadakis, L Daniel IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2014 | 139 | 2014 |
| Reweighted ℓ1 minimization method for stochastic elliptic differential equations X Yang, GE Karniadakis Journal of Computational Physics 248, 87-108, 2013 | 138 | 2013 |
| Physics-informed CoKriging: A Gaussian-process-regression-based multifidelity method for data-model convergence X Yang, D Barajas-Solano, G Tartakovsky, AM Tartakovsky Journal of Computational Physics 395, 410-431, 2019 | 84 | 2019 |
| Enhancing sparsity of Hermite polynomial expansions by iterative rotations X Yang, H Lei, NA Baker, G Lin Journal of Computational Physics 307, 94-109, 2016 | 64 | 2016 |
| Physics information aided kriging using stochastic simulation models X Yang, G Tartakovsky, AM Tartakovsky SIAM Journal on Scientific Computing 43 (6), A3862-A3891, 2021 | 63* | 2021 |
| A comparative study of coarse-graining methods for polymeric fluids: Mori-Zwanzig vs. iterative Boltzmann inversion vs. stochastic parametric optimization Z Li, X Bian, X Yang, GE Karniadakis The Journal of chemical physics 145 (4), 2016 | 59 | 2016 |
| Density Matrix Quantum Circuit Simulation via the BSP Machine on Modern GPU Clusters A Li, O Subasi, X Yang, S Krishnamoorthy 2020 SC20: International Conference for High Performance Computing …, 2020 | 47 | 2020 |
| Solving seismic wave equations on variable velocity models with Fourier neural operator B Li, H Wang, S Feng, X Yang, Y Lin IEEE Transactions on Geoscience and Remote Sensing 61, 1-18, 2023 | 44 | 2023 |
| Constructing surrogate models of complex systems with enhanced sparsity: quantifying the influence of conformational uncertainty in biomolecular solvation H Lei, X Yang, B Zheng, G Lin, NA Baker Multiscale Modeling & Simulation 13 (4), 1327-1353, 2015 | 41* | 2015 |
| Nonnegativity-Enforced Gaussian Process Regression A Pensoneault, X Yang, X Zhu Theoretical and Applied Mechanics Letters 10 (3), 182-187, 2020 | 38 | 2020 |
| Optimizing discharge capacity of li-o2 batteries by design of air-electrode porous structure: Multifidelity modeling and optimization W Pan, X Yang, J Bao, M Wang Journal of The Electrochemical Society 164 (11), E3499, 2017 | 37 | 2017 |
| EOF‐based constrained sensor placement and field reconstruction from noisy ocean measurements: Application to Nantucket Sound X Yang, D Venturi, C Chen, C Chryssostomidis, GE Karniadakis Journal of Geophysical Research: Oceans 115 (C12), 2010 | 35 | 2010 |
| Stochastic testing simulator for integrated circuits and MEMS: Hierarchical and sparse techniques Z Zhang, X Yang, G Marucci, P Maffezzoni, IAM Elfadel, G Karniadakis, ... Proceedings of the IEEE 2014 Custom Integrated Circuits Conference, 1-8, 2014 | 34 | 2014 |
| A meshfree peridynamic model for brittle fracture in randomly heterogeneous materials Y Fan, H You, X Tian, X Yang, X Li, N Prakash, Y Yu Computer Methods in Applied Mechanics and Engineering 399, 115340, 2022 | 26 | 2022 |
| Atomic radius and charge parameter uncertainty in biomolecular solvation energy calculations X Yang, H Lei, P Gao, DG Thomas, DL Mobley, NA Baker Journal of chemical theory and computation 14 (2), 759-767, 2018 | 26 | 2018 |
| Systematic parameter inference in stochastic mesoscopic modeling H Lei, X Yang, Z Li, GE Karniadakis Journal of Computational Physics 330, 571-593, 2017 | 24 | 2017 |
| When bifidelity meets cokriging: An efficient physics-informed multifidelity method X Yang, X Zhu, J Li SIAM Journal on Scientific Computing 42 (1), A220-A249, 2020 | 22 | 2020 |
| An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems Y Fan, X Tian, X Yang, X Li, C Webster, Y Yu Journal of Computational Physics 465, 111376, 2022 | 18 | 2022 |
| Sliced-inverse-regression--aided rotated compressive sensing method for uncertainty quantification X Yang, W Li, A Tartakovsky SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1532-1554, 2018 | 18 | 2018 |
George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringEmail được xác minh tại brown.edu
