Dongbin Xiu, Ph.D.
Affiliations: | 2004 | Brown University, Providence, RI |
Area:
MathematicsGoogle:
"Dongbin Xiu"Parents
Sign in to add mentorGeorge Em Karniadakis | grad student | 2004 | Brown | |
(Generalized (Wiener-Askey) polynomial chaos.) |
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Publications
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Wu K, Xiu D. (2020) Data-driven deep learning of partial differential equations in modal space Journal of Computational Physics. 408: 109307 |
Canuto C, Pieraccini S, Xiu D. (2019) Uncertainty quantification of discontinuous outputs via a non-intrusive bifidelity strategy Journal of Computational Physics. 398: 108885 |
Qin T, Wu K, Xiu D. (2019) Data driven governing equations approximation using deep neural networks Journal of Computational Physics. 395: 620-635 |
Wu K, Xiu D. (2019) Numerical aspects for approximating governing equations using data Journal of Computational Physics. 384: 200-221 |
Chou C, Li Y, Xiu D. (2019) Energy conserving Galerkin approximation of two dimensional wave equations with random coefficients Journal of Computational Physics. 381: 52-66 |
Wang P, Qin Y, Cheng M, et al. (2019) A new method for an old topic: Efficient and reliable estimation of material bulk modulus Computational Materials Science. 165: 7-12 |
Renardy M, Yi TM, Xiu D, et al. (2018) Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization. Plos Computational Biology. 14: e1006181 |
Shin Y, Wu K, Xiu D. (2018) Sequential function approximation with noisy data Journal of Computational Physics. 371: 363-381 |
Wu K, Xiu D. (2018) Sequential function approximation on arbitrarily distributed point sets Journal of Computational Physics. 354: 370-386 |
Wu K, Shin Y, Xiu D. (2017) A Randomized Tensor Quadrature Method for High Dimensional Polynomial Approximation Siam Journal On Scientific Computing. 39: A1811-A1833 |