Prati
guang lin
guang lin
Professor of Mathematics, Purdue University
Potvrđena adresa e-pošte na purdue.edu - Početna stranica
Naslov
Citirano
Citirano
Godina
Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification
I Bilionis, N Zabaras, BA Konomi, G Lin
Journal of Computational Physics 241, 212-239, 2013
1762013
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
1502012
Compressive sensing based machine learning strategy for characterizing the flow around a cylinder with limited pressure measurements
I Bright, G Lin, JN Kutz
Physics of Fluids 25 (12), 127102, 2013
1372013
An efficient, high-order probabilistic collocation method on sparse grids for three-dimensional flow and solute transport in randomly heterogeneous porous media
G Lin, AM Tartakovsky
Advances in Water Resources 32 (5), 712-722, 2009
1312009
Some issues in uncertainty quantification and parameter tuning: A case study of convective parameterization scheme in the WRF regional climate model
B Yang, Y Qian, G Lin, R Leung, Y Zhang
Atmospheric Chemistry and Physics 12 (5), 2409-2427, 2012
1202012
Robust data-driven discovery of governing physical laws with error bars
S Zhang, G Lin
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2018
1152018
Sensitivity of surface flux simulations to hydrologic parameters based on an uncertainty quantification framework applied to the Community Land Model
Z Hou, M Huang, LR Leung, G Lin, DM Ricciuto
Journal of Geophysical Research: Atmospheres 117 (D15), 2012
1122012
Uncertainty quantification and parameter tuning in the CAM5 Zhang‐McFarlane convection scheme and impact of improved convection on the global circulation and climate
B Yang, Y Qian, G Lin, LR Leung, PJ Rasch, GJ Zhang, SA McFarlane, ...
Journal of Geophysical Research: Atmospheres 118 (2), 395-415, 2013
1082013
Multi-resolution climate ensemble parameter analysis with nested parallel coordinates plots
J Wang, X Liu, HW Shen, G Lin
IEEE transactions on visualization and computer graphics 23 (1), 81-90, 2016
912016
Predicting shock dynamics in the presence of uncertainties
G Lin, CH Su, GE Karniadakis
Journal of Computational Physics 217 (1), 260-276, 2006
812006
Generating random earthquake events for probabilistic tsunami hazard assessment
RJ LeVeque, K Waagan, FI González, D Rim, G Lin
Global Tsunami Science: Past and Future, Volume I, 3671-3692, 2017
742017
Weak Galerkin finite element methods for Darcy flow: Anisotropy and heterogeneity
G Lin, J Liu, L Mu, X Ye
Journal of computational physics 276, 422-437, 2014
672014
Uncertainty quantification via random domain decomposition and probabilistic collocation on sparse grids
G Lin, AM Tartakovsky, DM Tartakovsky
Journal of Computational Physics 229 (19), 6995-7012, 2010
672010
ConvPDE-UQ: Convolutional neural networks with quantified uncertainty for heterogeneous elliptic partial differential equations on varied domains
N Winovich, K Ramani, G Lin
Journal of Computational Physics 394, 263-279, 2019
652019
Dynamic-feature extraction, attribution, and reconstruction (DEAR) method for power system model reduction
S Wang, S Lu, N Zhou, G Lin, M Elizondo, MA Pai
IEEE transactions on power systems 29 (5), 2049-2059, 2014
652014
A Comparative Study of
YH Tang, G Lin, H Sun
622021
A sensitivity study of radiative fluxes at the top of atmosphere to cloud-microphysics and aerosol parameters in the community atmosphere model CAM5
C Zhao, X Liu, Y Qian, J Yoon, Z Hou, G Lin, S McFarlane, H Wang, ...
Atmospheric Chemistry and Physics 13 (21), 10969-10987, 2013
622013
A sensitivity study of radiative fluxes at the top of atmosphere to cloud-microphysics and aerosol parameters in the community atmosphere model CAM5
C Zhao, X Liu, Y Qian, J Yoon, Z Hou, G Lin, S McFarlane, H Wang, ...
Atmospheric Chemistry and Physics 13 (21), 10969-10987, 2013
622013
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
532016
Inverse regression-based uncertainty quantification algorithms for high-dimensional models: Theory and practice
W Li, G Lin, B Li
Journal of Computational Physics 321, 259-278, 2016
512016
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