مقاله‌های دارای تعهدات انتشار عمومی - Dongbin Xiuبیشتر بدانید
جای دیگری دردسترس نیست: ۱۱
Sparse Approximation using Minimization and Its Application to Stochastic Collocation
L Yan, Y Shin, D Xiu
SIAM Journal on Scientific Computing 39 (1), A229-A254, 2017
تعهدات: US National Science Foundation, US Department of Energy, US Department of …
A well-balanced stochastic Galerkin method for scalar hyperbolic balance laws with random inputs
S Jin, D Xiu, X Zhu
Journal of scientific computing 67, 1198-1218, 2016
تعهدات: US National Science Foundation, US Department of Energy, National Natural …
A randomized algorithm for multivariate function approximation
Y Shin, D Xiu
SIAM Journal on Scientific Computing 39 (3), A983-A1002, 2017
تعهدات: US National Science Foundation, US Department of Defense
Uncertainty quantification of discontinuous outputs via a non-intrusive bifidelity strategy
C Canuto, S Pieraccini, D Xiu
Journal of Computational Physics 398, 108885, 2019
تعهدات: Government of Italy
Correcting data corruption errors for multivariate function approximation
Y Shin, D Xiu
SIAM Journal on Scientific Computing 38 (4), A2492-A2511, 2016
تعهدات: US National Science Foundation
Uncertainty quantification on the macroscopic properties of heterogeneous porous media
P Wang, H Chen, X Meng, X Jiang, D Xiu, X Yang
Physical Review E 98 (3), 033306, 2018
تعهدات: National Natural Science Foundation of China
A multi-fidelity collocation method for time-dependent parameterized problems
X Zhu, D Xiu
19th AIAA Non-Deterministic Approaches Conference, 1094, 2017
تعهدات: US Department of Defense
Construction of discontinuity detectors using convolutional neural networks
S Wang, Z Zhou, LB Chang, D Xiu
Journal of Scientific Computing 91 (2), 40, 2022
تعهدات: US Department of Defense
A new method for an old topic: Efficient and reliable estimation of material bulk modulus
P Wang, Y Qin, M Cheng, G Wang, D Xiu, Z Sun
Computational Materials Science 165, 7-12, 2019
تعهدات: National Natural Science Foundation of China
Data-Driven Modeling of Partially Observed Biological Systems
WH Su, CS Chou, D Xiu
Communications on Applied Mathematics and Computation 6 (1), 739-754, 2024
تعهدات: US National Science Foundation, US Department of Defense
UNCERTAINTY QUANTIFICATION OF SCIENTIFIC PROPOSAL EVALUATIONS
X Shi, P Wang, D Xiu
International Journal for Uncertainty Quantification 6 (2), 2016
تعهدات: US National Science Foundation, National Natural Science Foundation of China
جای دیگری دردسترس است: ۳۷
Data driven governing equations approximation using deep neural networks
T Qin, K Wu, D Xiu
Journal of Computational Physics 395, 620-635, 2019
تعهدات: US Department of Defense
Data-driven deep learning of partial differential equations in modal space
K Wu, D Xiu
Journal of Computational Physics 408, 109307, 2020
تعهدات: US Department of Defense
Stochastic collocation for optimal control problems with stochastic PDE constraints
H Tiesler, RM Kirby, D Xiu, T Preusser
SIAM Journal on Control and Optimization 50 (5), 2659-2682, 2012
تعهدات: German Research Foundation
Numerical aspects for approximating governing equations using data
K Wu, D Xiu
Journal of Computational Physics 384, 200-221, 2019
تعهدات: US National Science Foundation, US Department of Defense
Nonadaptive quasi-optimal points selection for least squares linear regression
Y Shin, D Xiu
SIAM Journal on Scientific Computing 38 (1), A385-A411, 2016
تعهدات: US National Science Foundation, US Department of Energy
Asymptotic-preserving methods for hyperbolic and transport equations with random inputs and diffusive scalings
S Jin, D Xiu, X Zhu
Journal of Computational Physics 289, 35-52, 2015
تعهدات: US Department of Energy, National Natural Science Foundation of China
Data-driven learning of nonautonomous systems
T Qin, Z Chen, JD Jakeman, D Xiu
SIAM Journal on Scientific Computing 43 (3), A1607-A1624, 2021
تعهدات: US Department of Energy, US Department of Defense
On generalized residual network for deep learning of unknown dynamical systems
Z Chen, D Xiu
Journal of Computational Physics 438, 110362, 2021
تعهدات: US Department of Defense
Deep learning of parameterized equations with applications to uncertainty quantification
T Qin, Z Chen, J JAKEMAN, D Xiu
International Journal for Uncertainty Quantification, 2021
تعهدات: US Department of Energy, US Department of Defense
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