Skip to Main Content U.S. Department of Energy
ACMD Division

Staff information

Xiu Yang

Computational Mathematics
Scientist
Pacific Northwest National Laboratory
PO Box 999
MSIN: K7-90
Richland, WA 99352
509/372-6561

PNNL Publications

2017

  • Lei H, X Yang, Z Li, and GE Karniadakis. 2017. "Systematic parameter inference in stochastic mesoscopic modeling." Journal of Computational Physics 330:571-593.  doi:10.1016/j.jcp.2016.10.029

2016

  • Li Z, X Bian, X Yang, and GE Karniadakis. 2016. "A comparative study of coarse-graining methods for polymeric fluids: Mori-Zwanzig vs. Iterative Boltzmann Inversion vs. Stochastic Parametric Optimization." Journal of Chemical Physics 145(4):044102.  doi:10.1063/1.4959121
  • Yang X, H Lei, NA Baker, and G Lin. 2016. "Enhancing Sparsity of Hermite Polynomial Expansions by Iterative Rotations." Journal of Computational Physics 307:94-109.  doi:10.1016/j.jcp.2015.11.038
  • Zhang Z, X Yang, and G Lin. 2016. "POD-based Constrained Sensor Placement and Field Reconstruction from Noisy Wind Measurements." Mathematics 4(2):26.  doi:10.3390/math4020026

2015

  • Cho H, X Yang, D Venturi, and GE Karniadakis. 2015. "Algorithms for propagating uncertainty across heterogeneous domains." SIAM Journal on Scientific Computing 37(6):A3030-A305A.  doi:10.1137/140992060
  • Lei H, X Yang, B Zheng, and NA Baker. 2015. "Constructing Surrogate Models of Complex Systems with Enhanced Sparsity: Quantifying the influence of conformational uncertainty in biomolecular solvation." Multiscale Modeling & Simulation 13(4):1327-1353.  doi:10.1137/140981587
  • Zhang Z, X Yang, I Oseledets, GE Karniadakis, and L Daniel. 2015. "Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 34(1):63-76.  doi:10.1109/TCAD.2014.2369505

Computing Research

Collaborations

Seminar Series

Science at PNNL

Computing Research

View All Highlights

Contacts