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 Publication

 

Summary: (click each one with hyperlink)

 

PhD Dissertation

2 Book Chapters

84 Published or Accepted Referred Journal Papers

24 Conference Proceeding Papers

5 Formal Reports

14 Submitted Journal Papers

86 Invited Presentations

 

Doctoral Dissertation:

 

Parallel High-Order Methods for Deterministic and Stochastic CFD and MHD Problems, Advisor: George Em Karniadakis, Brown University, 2007.

 

Book Chapters:

 

G. Lin, G. Karniadakis, Stochastic Systems Chapter in Encyclopedia of Applied and Computational Mathematics, ed. Bjorn Engquist, Springer, New York, 2015.

 

G. Lin, Big Data Application in Power Grid Systems chapter in CRC Handbook on Big Data, CRC Press, Taylor & Francis Group, 2016

 

 

84 Published or Accepted Journal Papers and 13 Submitted Journal Papers:

 

(1) 84 Published or Accepted Journal Papers

 

2004

 

[P1]   G. Lin, C.-H. Su and G.E. Karniadakis, The stochastic piston problem, Proceedings of the National Academy of Sciences of the United States of America, 101(45):15840-15845, 2004. PDF

 

2006

 

[P2]   G. Lin, C.-H. Su and G.E. Karniadakis, Predicting shock dynamics in the presence of uncertainties, Journal of Computational Physics, special issue in stochastic uncertainty prediction, 217(1) 260-276, 2006. PDF

 

[P3]   G. Lin and G.E. Karniadakis, A discontinuous Galerkin method for two-temperature plasmas, Computer Methods in Applied Mechanics and Engineering, special issue in Discontinuous Galerkin Methods. 195(25-28): 3504-3527, 2006. PDF

 

[P4]   G. Lin and L. Grinberg and G.E. Karniadakis, Numerical studies of the stochastic Korteweg-de Vries equation, Journal of Computational Physics, 213(2): 676-703, 2006. PDF

 

2007

 

[P5]   G. Lin, C.-H. Su and G.E. Karniadakis, Random Roughness Enhances Lift in Supersonic Flow, Physical Review Letters, 99:104501, 2007.  PDF

 

[P6]   G. Lin, X. Wan, C.-H. Su and G.E. Karniadakis, Stochastic computational fluid mechanics, IEEE Computing in Science and Engineering (CiSE), 9:21-29, 2007. PDF

 

2008

 

[P7]    G. Lin, C.-H. Su and G.E. Karniadakis, Stochastic modeling of random roughness in shock scattering problems: Theory and simulations, Comput. Methods Appl. Math. Eng., 197(43-44): 3420-3434, 2008. PDF

 

2009

 

[P8]    Z. Xu and G LinHierarchical reconstruction for spectral/hp element methods for solving hyperbolic conservation laws, Acta Mathematica Scientia, 29(6): 1737-1748, 2009. PDF

 

[P9]   W. Wu, G. Lin, Basic function scheme of polynomial type, Applied Mathematics and Mechanics, 30(9): 1091–1103, 2009. PDF

 

[P10]                       G. Lin and G.E. Karniadakis, Sensitivity Analysis and Stochastic Simulations of Non-equilibrium Plasma Flow, International Journal for Numerical Methods in Engineering, 80(6-7): 738 – 766, 2009. PDF

 

[P11]                       G. Lin* and A. M. Tartakovsky, An efficient, high-order probabilistic collocation method on sparse grids for three-dimensional flow and solute transport in randomly heterogeneous porous media, Advances in Water Resources, http://www.sciencedirect.com/scidirimg/clear.gif32(5): 712-722, 2009. PDF

 

2010

 

[P12]                       G. Lin* and A. M. Tartakovsky, Numerical studies of three-dimensional stochastic Darcy's equation and stochastic advection-diffusion-dispersion equation, Journal of Scientific Computing, 43(1): 92-117, 2010. PDF

 

[P13]                       G. Lin*, D. M. Tartakovsky, and A. M. Tartakovsky, Uncertainty quantification via random domain decomposition and probabilistic collocation on sparse grids, Journal of Computational Physics, 229(19): 6995-7012, 2010. PDF

 

2011

 

[P14]                       D. Mei, G. Lin. Effects of heat and mass transfer on the reaction kinetics of CO oxidation on the RuO2(110) catalyst, Catalysis Today, 165: 56-63, 2011. PDF

 

[P15]                       Z. Xu, Y. Liu, H. Du, G. Lin, and CW. Shu, Point-wise Hierarchical Reconstruction for Discontinuous Galerkin and Finite Volume Methods for Solving Conservation Laws, Journal of Computational Physics, 230 (17): 6843-6865, 2011. PDF

 

2012

 

[P16]                       X. Yang, M. Choi, G. Lin, G.E. Karniadakis, Adaptive ANOVA Decomposition of Incompressible and Compressible Flows, Journal of Computational Physics,  231(4): 1587–1614, 2012. PDF

 

[P17]                       A. Balter, G. Lin, and A.M. Tartakovsky, The Effect of Nonlinearity in Hybrid Kinetic Monte Carlo-Continuum models, Physical Review E, 85: 016707, 2012. PDF

 

[P18]                        B. Yang, Y. Qian, G. Lin, R. Leung, Y. Zhang, Some issues in uncertainty quantification and parameter tuning: a case study of convective parameterization scheme in the WRF regional climate model, Atmospheric Chemistry and Physics, 12(5): 2409-2427, 2012.  PDF

 

[P19]                       Z. Hou, M Huang, LYR Leung, G. Lin, and DM Ricciuto, Sensitivity of Surface Flux Simulations to Hydrologic Parameters Based on an Uncertainty Quantification Framework Applied to the Community Land Model, Journal of Geophysical Research. D. (Atmospheres), 117(D15): D15108, 2012. PDF

 

2013

 

[P20]                       I. Bright, G. Lin, N. Kutz, Compressive Sensing Based Machine Learning Strategy for Characterizing the Flow around a Cylinder with Limited Pressure Measurements, Physics of Fluids, 25: 127102, 2013. PDF

 

[P21]                       Yang B, Y Qian, G Lin, LYR Leung, PJ Rasch, GJ Zhang, SA McFarlane, C Zhao, Y Zhang, H Wang, M Wang, and X Liu, Uncertainty Quantification and Parameter Tuning in the CAM5 Zhang-McFarlane Convection Scheme and Physical Impact of Improved Convection on the Global Circulation and Climate, Journal of Geophysical Research. D. (Atmospheres), 118: 395-415, 2013. PDF

 

[P22]                       Bilionis I, N. Zabaras, B Konomi, and G LinMulti-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification, Journal of Computational Physics, 241: 212-239, 2013. PDF

 

[P23]                       X. Shi, G. Lin*, J. Zhou, D. Fedosov, A Lattice Boltzmann Fictitious Domain Method for Modeling Red Blood Cell Deformation and Multiple-Cell Hydrodynamic Interaction in Flow, International Journal for Numerical Methods in fluids, 72 (8): 895-911, 2013. PDF

 

[P24]                       Z. Zhang, X. Yang, G. Lin, G. Karniadakis, Numerical solution of the Stratonovich- and Ito-Euler equations: Application to the stochastic piston problem, Journal of Computational Physics, 236: 15-27, 2013. PDF

 

[P25]                       K. Hui, G Lin*, W Pan, Understanding the Mechanisms of Sickle Cell Disease by Simulations with a Discrete Particle Model, Computational Science & Discovery, 6(1): 015004, 2013. PDF

 

[P26]                       Ryu S, G Lin, X Sun, MA Khaleel, and D Li, Adaptive Multiple Super Fast Simulated Annealing for Stochastic Image Reconstruction, International Journal of Theoretical and Applied Multiscale Mechanics, 2(4): 287-297, 2013. PDF

 

[P27]                       J. Bao, Z. Xu, G. Lin, Y. Fang, Evaluating the impact of aquifer layer properties on geo-mechanical response during CO2 geological sequestration, Computers & Geosciences, 54: 28-37, 2013. PDF

 

[P28]                       Z. Hou, DW Engel, G Lin, Y Fang, and Z Fang, An Uncertainty Quantification Framework for Studying the Effect of Spatial Heterogeneity in Reservoir Permeability on CO2 Sequestration, Mathematical Geosciences, 45(7): 799-817, 2013. PDF

 

[P29]                        X. Wan, G. Lin, Hybrid parallel computing of minimum action method, Parallel Computing, 39: 638-651, 2013. PDF

 

[P30]                       J. Bao, Z. Hou, Y. Fang, H. Ren, G. Lin, Uncertainty quantification for evaluating impacts of caprock and reservoir properties on geomechanical responses during geologic CO2 sequestration, Greenhouse Gases: Science and Technology, 3(5): 338-358, 2013. PDF

 

[P31]                       C. Zhao, X. Liu, Y. Qian, J. Yoon, Z. Hou, G. Lin, S. McFarlane, H. Wang, B. Yang, P.-L. Ma, H. Yan, J. Bao, A Sensitivity Study of Radiative Fluxes at the Top of Atmosphere to Cloud-Microphysics and Aerosol Parameters in the Community Atmosphere Model CAM5, Atmos. Chem. Phys., 13: 10969-10987, 2013. PDF

 

2014

 

[P32]                       G. Xu, G. Lin*, J. Liu, Rare Event Simulation for Stochastic Korteweg-de Vries Equation, SIAM/ASA Journal on Uncertainty Quantification, 2 (1): 698-716, 2014. PDF

 

[P33]                       Guo Z, M Wang, Y Qian, VE Larson, SJ Ghan, M Ovchinnikov, P Bogenschutz, C Zhao, G. Lin, and T Zhou, A Sensitivity Analysis of Cloud Properties to CLUBB Parameters in the Single Column Community Atmosphere Model (SCAM5), Journal of Advances in Modeling Earth Systems, 6 (3): 829-858, 2014. PDF

 

[P34]                       M. J. Del Razo, W. Pan, H. Qian, G. Lin, Fluorescence Correlation Spectroscopy and Nonlinear Stochastic Reaction-Diffusion, Journal of Physical Chemistry B, 118 (25): 7037-7046, 2014. PDF

 

[P35]                       G. Lin*, J. Bao, Z. Xu, A three-dimensional phase field model coupled with lattice kinetics solver for modeling crystal growth in furnaces with accelerated crucible rotation and traveling magnetic field, Computers and Fluids, 103: 204-214, 2014. PDF

 

[P36]                       X. Shi, G. Lin*, Modeling the Sedimentation of Red Blood Cells in Flow under Strong External Magnetic Body Force using a Lattice Boltzmann Fictitious Domain Method, Numer. Math. Theor. Meth. Appl. 72014: 512-523, 2014. PDF

 

[P37]                       G. Lin*, J. Liu, F. Sadre-Marandi, A comparative study on the weak Galerkin, discontinuous Galerkin, and mixed finite element methods, Journal of Computational and Applied Mathematics, 273: 346-362, 2015. PDF

 

[P38]                       Z. Zhang, X. Hu, T.Y. Hou*, G. Lin*, P. Yan, An adaptive ANOVA-based data-driven stochastic method for elliptic PDE with random coefficients, Communications in Computational Physics, 16: 571-598, 2014. PDF

 

[P39]                       H. Yan, Y. Qian, G. Lin, L.R. Leung, B. Yang, Q. Fu, Parametric Sensitivity and Calibration for the Kain-Fritsch Convective Parameterization Scheme in the WRF Model, Climate Research, 59: 135-147, 2014. PDF

 

[P40]                       F. Liang, Y. Cheng, and G Lin, Simulated Stochastic Approximation Annealing for Global Optimization with a Square-Root Cooling Schedule, Journal of the American Statistical Association, 109(506): 847-863, 2014. PDF

 

[P41]                       S. Shao, N. Abdolrahim, D. F. Bahr, G. Lin, and H.M. Zbib, Stochastic Effects in Plasticity in Small Volumes, International Journal of Plasticity, 52: 117-132, 2014. PDF

 

[P42]                       Z. Hou, D.W. Engel, D.H. Bacon, G. Lin, Y. Fang, H. Ren, Z. Fang, Uncertainty Analyses of CO2 Plume Expansion subsequent to Wellbore CO2 Leakage into Aquifers, International Journal of Greenhouse Gas Control, 27:69-80, 2014. PDF

 

[P43]                       G. Lin*, J. Liu, L. Mu, X. Ye, Weak Galerkin Finite Element Methods for Darcy Flow: Anisotropy and Heterogeneity, Journal of Computational Physics, 276: 422-437, 2014. PDF

 

[P44]                       W. Li, G. Lin*, D. Zhang, An Adaptive-ANOVA-based PCKF for High-Dimensional Nonlinear Inverse Modeling, Journal of Computational Physics, 258: 752–772, 2014. PDF

 

[P45]                       D. Meng, Q. Zhang, X. Gao, S. Wu, G. Lin, LipidMiner: a software for automated identification and quantification of lipids from multiple liquid chromatography-mass spectrometry data files, Rapid Communications in Mass Spectrometry, 28 (8): 981-985, 2014. PDF

 

[P46]                       D. Meng, B. Zheng, G. Lin*, M.L. Sushko, Numerical Solution of 3D Poisson-Nernst-Planck Equations Coupled with Classical Density Functional Theory for Modeling Ion and Electron Transport in Confined Environment, Communications in Computational Physics, 16(5): 1298-1322, 2014. PDF

 

[P47]                       B. Konomi, G. Karagiannis, A. Sarkar, X. Sun, G. Lin*, Bayesian Treed Multivariate Gaussian Process with Adaptive Design: Application to a Carbon Capture Unit, Technometrics, 56(2): 145–158, 2014. PDF

 

[P48]                       G. Karagiannis, G. Lin*, Selection of Polynomial Chaos Bases via Bayesian Model Uncertainty Methods with Applications to Sparse Approximation of PDEs with Stochastic Inputs, Journal of Computational Physics, 259: 114–134, 2014. PDF

 

[P49]                       G. Lin*, J. Bao, Z. Xu, A. M. Tartakovsky, and CH Henager, Jr., A Phase-Field Model Coupled with Lattice Kinetics Solver for Modeling Crystal Growth in Furnaces, Communications in Computational Physics, 15(1): 76-92, 2014. PDF

 

[P50]                       Fang Z, Z Hou, G Lin, DW Engel, Y Fang, and PW Eslinger.  Exploring the Effects of Data Quality, Data Worth, and Redundancy of CO2 Saturation Data on Injection Reservoir Characterization through PEST Inversion, Environmental Earth Sciences, 71(7): 3025-3037, 2014. PDF

 

[P51]                       G. Lin*, M. Elizondo, S. Lu, X. Wan, Uncertainty Quantification in Dynamic Simulations of Large-scale Power System Models using the High-Order Probabilistic Collocation Method on Sparse Grids, International Journal for Uncertainty Quantification, 4(3): 185-204, 2014. PDF

 

[P52]                       S. Wang, S. Lu, N. Zhou, G. Lin, M. Elizondo, M.A. Pai, Dynamic-feature Extraction, Attribution and Reconstruction (DEAR) Method for Power System Model Reduction, IEEE Transactions on Power Systems, 99: 1-11, 2014. PDF

 

[P53]                       J. Wei, G. Lin*, L. Jiang, Y. Efendiev, Analysis of Variance-based Mixed Multiscale Finite Element Method and Applications in Stochastic Two-Phase Flows, International Journal for Uncertainty Quantification, 4(6): 455-477, 2014. PDF

 

2015

 

[P54]                       Z. Hao, G. Lin, Z. Sun, A high-order difference scheme for the fractional sub-diffusion equation, International Journal of Computer Mathematics, 16: 1-24, 2015. DOI:10.1080/00207160.2015.1109642 PDF

 

[P55]                       B. Zhang, B. Konomi, H. Sang, G. Karagiannis, G. Lin*, Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions, Journal of Computational Physics, 300: 623–642, 2015. PDF

 

[P56]                       G. Herschlag, S. Mitran, G. Lin, A consistent hierarchy of generalized kinetic equation approximations to the master equation applied to surface catalysis, Journal of Chemical Physics, 142: 234703, 2015. PDF

 

[P57]                       E. Sousa, G. Lin*, U. Shumlak, Uncertainty Quantification of the GEM Challenge Magnetic Reconnection Problem using the Multi-level Monte Carlo Method, International Journal for Uncertainty Quantification, 5(4): 327-339, 2015. PDF

 

[P58]                       B. Konomi, G. Lin*, Low-Cost Multi-output Gaussian Process with Application to Uncertainty Quantification, International Journal for Uncertainty Quantification, 5(4): 375-392, 2015. PDF

 

[P59]                       J. Li, G. Lin, X. Yang, A Frozen Gaussian Approximation-based Multi-level Particle Swarm Optimization for Seismic Inversion, Journal of Computational Physics, 296: 58-71, 2015. PDF

 

[P60]                       W. Li and G. Lin*, Adaptive Importance Sampling from Multimodal Distributions using Polynomial Chaos Surrogates and Gaussian Mixture Proposal, Journal of Computational Physics, 294: 173-190, 2015. PDF

 

[P61]                       Bao J, Z Hou, Y Fang, H Ren, and G. Lin, Uncertainty quantification for evaluating the impacts of fracture zone on pressure buildup and ground surface uplift during geological CO2 sequestration, Greenhouse Gases: science and technology, 5(3):254-267, 2015. PDF

 

[P62]                       R. N. Ibragimov, G. Lin, Longitudinal Dimensions of Polygon-shaped Planetary Waves, Journal of Applied Nonlinear Dynamics 4(2): 153-167, 2015. PDF

 

[P63]                       W. Hao, Z. Xu, C. Liu, G. Lin, A Fictitious Domain Method with a Hybrid Cell Model for Simulating Motion of Cells in Fluid Flow, Journal of Computational Physics, 280: 345-362, 2015. PDF

 

[P64]                       G. Karagiannis, B. Konomi, G. Lin*, Mixed shrinkage prior procedure for basis selection and global evaluation of gPC expansions in Bayesian framework: Applications to elliptic SPDEs, Journal of Computational Physics, 284: 528-546, 2015. PDF

 

[P65]                       R.N. Ibragimov, G. Lin, Splitting phenomenon of a higher-order shallow water theory associated with a longitudinal planetary waves, Dynamics of Atmospheres and Oceans, 69: 1-11, 2015. PDF

 

[P66]                       B. Konomi, G. Karagiannis, G. Lin, On the Bayesian Treed Multivariate Gaussian Process with Linear Model of Coregionalization, Journal of Statistical Planning and Inference, 157-158: 1-15, 2015. PDF

 

Current

 

[P67]                       Z. Hao, W. Cao and G. Lin*, A second-order difference scheme for the time fractional substantial diffusion equation, Journal of Computational and Applied Mathematics, in press. PDF

 

[P68]                       R.J. Leveque, K. Waagan, F.I. Gonzalez, D. Rim, G. Lin, Generating random earthquake events for probabilistic tsunami hazard assessment, Pure and Applied Geophysics, 1-22, doi:10.1007/s00024-016-1357-1, 2016. PDF

 

[P69]                       W. Li, G. Lin*, B. Li, Inverse regression-based uncertainty quantification algorithms for high-dimensional models in theory and practice, Journal of Computational Physics, 321:259-278, 2016. PDF

 

[P70]                       A. Biswas, G. Lin, X. Liu, H. Shen, Visualization of Time-Varying Weather Ensembles Across Multiple Resolutions, IEEE Transactions on Visualization and Computer Graphics, in press, 2016, doi:10.1109/TVCG.2016.2598869. PDF

 

[P71]                       J. Wang, X. Liu, H. Shen, G. Lin, Multi-resolution Climate Ensemble parameter analysis with nested parallel coordinates plots, IEEE Transactions on Visualization and Computer Graphics, in press, 2016, doi/10.1109/TVCG.2016.2598830. PDF

 

[P72]                       G. Karagiannis, B. Konomi, F. Liang, G. Lin, Parallel and Interacting Stochastic Approximation Annealing for Global Optimization, Journal of Computational and Graphical Statics, 1-19, doi:10.​1007/​s11222-016-9663-0, 2016. PDF

 

[P73]                       W. Guo, G. Lin*, A. J. Christlieb, J. Qiu, An adaptive WENO collocation method for differential equations with random coefficients, Mathematics, 4(2), 29; doi:10.3390/math4020029, 2016. PDF

 

[P74]                       Konomi, B., G. Karagiannis, K. Lai, G. Lin, Bayesian treed Calibration: an application to Carbon capture with AX sorbent, Journal of American Statistical Association, ISSN: 0162-1459 (Print) 1537-274X (Online), 2016. DOI: 10.1080/01621459.2016.1190279. PDF

 

[P75]                       Q. Liao, G. Lin*, Reduced basis ANOVA method for partial differential equation with high-dimensional random inputs, Journal of Computational Physics, 317: 148-164, 2016. PDF

 

[P76]                       Z. Zhang, X. Yang, G. Lin*, POD-based constrained sensor placement and field reconstruction from noisy wind measurement, Mathematics, 4, 26; doi:10.3390/math4020026, 2016. PDF

 

[P77]                       I. Bright, G. Lin, N. Kutz, Classification of Spatio-temporal Data via Asynchronous sparse sampling: Application to flow around a cylinder, SIAM Multiscale modeling and simulation, in press, 2016. PDF

 

[P78]                       H. Wang, G. Lin, J. Li, Gaussian process surrogates for failure detection: a Bayesian experimental design approach, Journal of Computational Physics, 313: 247-259, 2016. PDF

 

[P79]                       Z. Xu, R. Tipireddy, G. Lin, Analytical Approximation and Numerical Studies of One-dimensional Elliptic Equation with Random Coefficients, Applied Mathematical Modelling, 2016; DOI:10.1016/j.apm.2015.12.041. PDF

 

[P80]                       Y. Sun, P. Sun, B. Zheng, G. Lin, Error analysis of finite element method for Poisson-Nernst-Planck equations, Journal of Computational and Applied Mathematics, 301: 28-43, 2016. PDF

 

[P81]                       H. Lei, X. Yang, B. Zheng, G. Lin, N. Baker, Constructing Surrogate Models of Complex Systems with Enhanced Sparsity: Quantifying the Influence of Conformational Uncertainty in Biomolecular Solvation, SIAM Multiscale Modeling and Simulation, 13(4): 1327-1353, 2016. PDF

 

[P82]                       X. Yang, H. Lei, N. Baker, G. Lin*, Enhancing sparsity of Hermite polynomial expansions by iterative rotations, Journal of Computational Physics, 307: 94-09, 2016. PDF

 

[P83]                       L. Li, Y. Yang, G. Lin, The stabilization of BAM neural networks with time-varying delays in the leakage terms via sampled-data control, Neural Computing and Applications, 27(2): 447-457, 2016. PDF

 

[P84]                       V. Ginting, G. Lin, J. Liu, On Application of the Weak Galerkin Finite Element Method to a Two-phase Model for Subsurface Flow, Journal of Scientific Computing, 66(1): 225-239, 2016. PDF

 

 

(2) 14 Submitted Papers in Refereed Journals

 

[P85]                       Z. Hao, M. Park, G. Lin, Z. Cai, Finite element method for two-sided fractional elliptic differential equations with variable coefficients: Galerkin approach, SIAM Journal on Scientific Computing, in review, 2016.

 

[P86]                       J. Zhang, W. Li, G. Lin, L. Zeng, L. Wu, Efficient evaluation of small failure probability in high-dimensional groundwater contaminant transport modeling via a two-stage Monte Carlo method, Water Resources Research, in review, 2016.

 

[P87]                       W. Hao, G. Lin, Z. Xu, Numerical Study of High-Dimensional Stoichiometric Biological Network, BMC Systems Biology, in review, 2016.

 

[P88]                       Y. Zheng, G. Lin, J. Glasser, A. Hill, Assessing the effects of mildly symptomatic and asymptomatic Ebola infection on propagation and control interventions, Journal of Theoretical Biology, in review, 2016.

 

[P89]                       Z. Hao, G. Lin*, Implicit finite difference schemes for multi-term time-fractional mixed diffusion-wave equations, Applied Mathematics and Computation, in review.

 

[P90]                       S. Wang, S. Lu, Y. Zhang, G. Lin, Investigating demand response contribution to frequency recovery during contingencies, IEEE Transactions on Smart Grid, in review.

 

[P91]                       G. Karagiannis, G. Lin*, On the design of a predictive model of computer model mixtures and their calibration through experimental data, Technometrics, in review.

 

[P92]                       L. Chen, B. Zheng, G. Lin*, N. Voulgarakis, A two-level stochastic collocation method for semilinear elliptic equations with random coefficients, Journal of Computational and Applied Mathematics, in review.

 

[P93]                       R. N. Ibragimov, G. Lin, Nonlinear Analysis of Perturbed Rotating Whirlpools in the Ocean and Atmosphere, Physics Letters A, in review.

 

[P94]                       E. Hogan, E. Cotilla-Sanchez, M. Halappanavar, Z. Huang, G. Lin, S. Lu, S. Wang, Comparative Studies of Clustering Techniques for Real-Time Dynamic Model Reduction, IEEE transactions on smart grids, in review.

 

[P95]                       X. Wan, B. Zheng, G. Lin, The hp-adaptivity of minimum action method, SIAM Journal of Scientific Computing, in review.

 

[P96]                       B. Zheng, G. Lin, J. Xu, Block Triangular Preconditioning for Stochastic Galerkin Method, Journal of Scientific Computing, in review.

 

[P97]                       L. Wu, G. Lin, X. Li, The Mori-Zwanzig formalism for coarse-graining molecular dynamics models: A quasi-harmonic approximation, Journal of Physics A: Mathematical and Theoretical, in review.

 

[P98]                        J. Zhang, W. Li, G. Lin, L. Zeng, L. Wu, Ensemble-based monitoring network design for contaminant source identification, Water Resources Research, in review

 

 

24 Fully Reviewed Conference Papers

 

[C1]  G. Lin and G.E. Karniadakis, A high-order discontinuous Galerkin method for modeling micro-pulsed plasma thrusters, IEPC-01-154, 27th International Electric Propulsion Conference, October 2001, Pasadena, CA. PDF

 

[C2]  G. Lin and G.E. Karniadakis, High-order modeling of micro-pulsed plasma thrusters, AIAA-2002-2872, 3rd AIAA Theoretical Fluid Mechanics Meeting, June 2002, St. Louis, Missouri. PDF

 

[C3]  G. Lin, C.-H. Su and G.E. Karniadakis, Stochastic solvers for the Euler equations, AIAA-2005-0873, 43rd AIAA Aerospace Sciences Meeting and Exhibit, January 2005, Reno, NV. PDF

 

[C4]  G. Lin, C.-H. Su and G.E. Karniadakis, Modeling random roughness in supersonic flow past a wedge, AIAA-2006-0124, 44th AIAA Aerospace Sciences Meeting and Exhibit, January 2006, Reno, NV.

 

[C5]  G. Lin, C.-H. Su and G.E. Karniadakis, Effects of Random Roughness and Scattering of Shock Waves, AIAA 2007-1134, 45th AIAA Aerospace Sciences Meeting and Exhibit, January 2007, Reno, NV.

 

[C6]  G. Lin, C.-H. Su and G.E. Karniadakis, Stochastic simulations and sensitivity analysis of plasma flow, AIAA-2008-1073, 46h AIAA Aerospace Sciences Meeting and Exhibit, January 2008, Reno, NV.

 

[C7]  Yin J, G. Lin, I Gorton, B. Han, MeDiCi-Cloud: A Workflow Infrastructure for Large-scale Scientific Applications, In 2011 Fourth IEEE International Conference on Utility and Cloud Computing (UCC), Dec. 5-8, 2011, Victoria, NSW, 336 - 337, DOI: 10.1109/UCC.2011.56. ISBN: 978-1-4577-2116-8, 2011. PDF

 

[C8]  D.C. Miller, M. Syamlal, J.C. Meza, D.L. Brown, M.M. Fox, M.A. Khaleel, R.K. Cottrell, J.D. Kress, X. Sun, S. Sundaresan, N.V. Sahinidis, S.E. Zitney, D.A Agarwal, C. Tong, G. Lin, B.C. Letellier, D.W. Engel, P. Calafiura, G.A. Richards, J.H. Shinn, Overview of the U.S. DOEs Carbon Capture Simulation Initiative for Accelerating the Commercialization of CCS Technology, 36th International Technical Conference on Clean Coal & Fuel Systems, June 5 to 9, 2011, Clearwater, FL. PDF

 

[C9]  G. Lin, N. Zhou, T. Ferryman, and F. Tuffner, Uncertainty Quantification in State Estimation using the Probabilistic Collocation Method, Power Systems Conference and Exposition, March 20th, 2011, Phoenix, AZ. PDF

 

[C10]                     T. Ferryman, F. Tuffner, N. Zhou, and G. Lin, Initial Study on the Predictability of Real Power on the Grid based on PMU Data, Power Systems Conference and Exposition, March 20th, 2011, Phoenix, AZ. PDF

 

[C11]                     TA Ferryman, DJ Haglin, M Vlachopoulou, J Yin, C Shen, N Zhou, G Lin, FK Tuffner, and J Tong. Net Interchange Schedule Forecasting of Electric Power Exchange for RTO/ISOs, 2012 IEEE PES General meeting, July 22-26, 2012, San Diego, CA. PDF

 

[C12]                     D Meng, N Zhou, S Lu, and G LinEstimate the Electromechanical States Using Particle Filtering and Smoothing, 2012 IEEE PES General meeting, July 22-26, 2012, San Diego, CA. PDF

 

[C13]                     S Wang, S Lu, G Lin, and N Zhou. Measurement-based Coherency Identification and Aggregation for Power Systems, 2012 IEEE PES General meeting, July 22-26, 2012, San Diego, CA. PDF

 

[C14]                     D. Meng, G. Lin, M. Sushko, An Efficient Implementation of Multiscale Simulation Software PNP-cDFT, 2012 MRS Spring Meeting proceedings, 2012, San Francisco, CA. PDF

 

[C15]                     J.B. Coble, G. Lin, B. Shumaker, P. Ramuhalli, Accurate Uncertainty Quantification to Support Online Sensor Calibration Monitoring, 2013 American Nuclear Society Winter Meeting and Technology Expo., 2013.

 

[C16]                     D. Meng, N. Zhou, S. Lu, G. Lin, An Expectation-Maximization Method for Calibrating Synchronous Machine Models, 2013 IEEE PES General meeting, July 21-25, 2013, Vancouver, BC, Canada. PDF

 

[C17]                     J. Yin, G. Lin, Exploring Cloud Computing for Large-scale Scientific Applications, IEEE 2013 International Workshop on the Future of Software Engineering for/in the Cloud (FOSEC 2013), June 27-July 2, Santa Clara, CA. PDF

 

[C18]                     J. Bao, Z. Hou, Y. Fang, H. Ren, G. Lin, Uncertainty quantification of geomechanical responses and risk analysis of induced seismicity during geological CO2 sequestration, 12th Annual Conference on Carbon Capture, Utilization and Sequestration, Pittsburgh, PA, 2013.

 

[C19]                       S.K. White, L.J. Gosink, C. Sivaramakrishnan, G.D. Black, S. Purohit, D.H. Bacon J. Hou, G. Lin, I. Gorton, A. Bonneville, Implementations of a Flexible Framework for Managing Geologic Sequestration Modeling Projects, Energy Procedia, 37: 3971–3979, 2013. PDF

 

[C20]                     Elizondo MA, S Lu, G Lin, and S Wang, Dynamic Response of Large Wind Power Plant Affected by Diverse Conditions at Individual Turbines, In IEEE Power and Energy Society General meeting, July 27-31, 2014, National Harbor, MD, USA. PDF

 

[C21]                     W. Li, D. Zhang, G. Lin, A surrogate-based adaptive sampling approach for history matching and uncertainty quantification, SPE Reservoir Simulation Symposium, SPE 173298, Houston, Texas, Feb. 23-25, USA, 2015. PDF

 

[C22]                     L. Chen, Y. Cao, G. Lin, W. Sun, W. Zhang, P. Ming, Study on the simulation method of compressor aerodynamic noise based on CFD and IBEM, Proceedings of the ASME 2016 Internal Combustion Fall Technical Conference, in review, Greenville, SC, Oct. 9-12, 2016. PDF

 

[C23]                     J. Wang, X. Liu, H. Shen, G. Lin, Multi-resolution Climate Ensemble parameter analysis with nested parallel coordinates plots, IEEE VIS Conference, Visual Analytics Science and Technology program (VAST), Oct. 23-28, 2016, Baltimore, MD, USA. PDF

 

[C24]                     A. Biswas, G. Lin, X. Liu, H. Shen, Visualization of Time-Varying Weather Ensembles Across Multiple Resolutions, IEEE VIS Conference, Scientific Visualization program (SciVis), Oct. 23-28, 2016, Baltimore, MD, USA. PDF

 

Referred PNNL Formal Reports

 

[R1]  G. Lin, DW Engel, and PW Eslinger. Survey and Evaluate Uncertainty Quantification Methodologies  PNNL-20914, Pacific Northwest National Laboratory, Richland, WA, 2012. PDF

 

[R2]  CH Henager, Jr., F Gao, SY Hu, G Lin, EJ Bylaska, N Zabaras, Simulating interface growth and defect generation in CZT-simulation state of the art and known gaps, PNNL-189638, Pacific Northwest National Laboratory, Richland, WA, 2012. PDF

 

[R3]  P. Ramuhalli, G. Lin, S.L. Crawford, B. Konomi, B.G. Braatz, J.B. Coble, B. Shumaker, H. Hashemian, Uncertainty Quantification Techniques for Sensor Calibration Monitoring in Nuclear Power Plants, 2013. PDF

 

[R4]  N.A. Baker, G.E. Karniadakis, G. Lin, W. Pan, G.K. Schenter, 2013 Collaboratory on Mathematics for Mesoscopic Modeling of Materials (CM4) Annual Report, 2013. 

 

[R5]  Ramuhalli P, G. Lin, SL Crawford, BA Konomi, JB Coble, B Shumaker, and H Hashemian, Uncertainty Quantification Techniques for Sensor Calibration Monitoring in Nuclear Power Plants, 2014. PDF

 

 

Selected 86 Invited Presentations in Past Eight Years 

 

2016

 

[IT1]        Invited seminar at Department of Electric Engineering, Southeast University, Nanjing, China, June 28, 2016.

[IT2]       Invited seminar at Department of Mathematics, Nanjing Information Engineering University, Nanjing, China, June 27, 2016.

[IT3]       Invited seminar at Institute of Information Science, ShanghaiTech University, Shanghai, China, June 25, 2016.

[IT4]      Invited seminar at Department of Mathematics, Zhejiang University, Hangzhou, China, June 22, 2016.

[IT5]       Invited talk at Workshop on Modeling and Analysis in Molecular Biology and Electrophysiology, Suzhou, China, June 17, 2016.

[IT6]      Invited seminar Invited seminar at Naritech Company, Nanjing, China, June 7, 2016.

[IT7]       Invited seminar at Department of Mechanical Engineering, Southeast University, Nanjing, China, June 6, 2016.

[IT8]      Invited talk at the International Conference on Applied Mathematics 2016 at CityU, Hong Kong, May 30-June 2, 2016.

[IT9]      Invited seminar at Department of Mathematics, Michigan State University, East Lansing, MI, April 29, 2016.

 

2015

 

[IT10] Invited seminar at Department of Mathematics, Ohio State University, Columbus, OH, Dec. 3, 2015.

[IT11]   Invited seminar at Department of Mathematics, Ohio State University, Columbus, OH, Nov. 12, 2015.

[IT12]  Invited seminar at Department of Mathematics, Penn State University, State College, PA, Oct. 26, 2015.

[IT13]   Invited seminar at Department of Mathematics, Indiana University–Purdue University Indianapolis, Indianapolis, IN, Sep. 18, 2015.

[IT14]  Invited seminar at Department of Statistics, University of Minnesota, Minneapolis, MN, Feb. 26., 2015.

[IT15]  Invited seminar at Science and Technology for Aquifer Recharge Workshop, Doha, Qatar, Feb. 9, 2015

 

2014

 

[IT16]  Invited seminar at Department of Mathematics Colloquium, Ohio State University, Columbus, OH, Nov. 18, 2014.

[IT17]   Invited seminar at Southeast University, Nanjing, China, Nanjing, China on May 11, 2014.

 

2013

 

[IT18]  Invited seminar at Department of Mathematics, Shanghai University, China, Shanghai, China on July 16, 2013.

[IT19]  Invited talk at Workshop on Scientific Computing with Applications, Kunming, China on July 20, 2013. 

[IT20]                        Invited seminar at Southeast University, Nanjing, China, Nanjing, China on July 25, 2013.

[IT21]  Invited seminar at Department of Mathematics, Colorado State University, Fort Collins, CO on November 21, 2013. 

[IT22] Invited talk at IMA Hot Topics Workshop on Uncertainty Quantification in Materials Modeling, Minneapolis, MN on December 16, 2013. 

 

2012

 

[IT23] Invited talk at the 2012 International workshop on Recent Advances in Scientific and Engineering Computing, Shanghai, China, 2012.

[IT24]Invited talk at the Second Workshop on Computational Methods for Applied Sciences at Columbia University, New York City, Dec. 2, 2012.

[IT25] Invited talk at the Computational Challenges in Probability Workshop: Uncertainty Quantification, Providence, RI on October 9, 2012. 

[IT26]Invited seminar at the ACMS Colloquium at University of Notre Dame, Notre Dame, IN on October 4, 2012.

[IT27] Invited seminar at Applied and Computational Mathematics and Statistics, Univ. of Notre Dame, Notre Dame, IN on October 4-5, 2012

[IT28]                        Invited seminar at the Mechanics and Computation Seminar Series at Stanford University, San Francisco, CA on September 27, 2012

[IT29]Invited talk at the DOE Multifaceted Mathematics Center for Complex Energy Systems Kick-off Meeting, ANL, Lemont, IL, September 13, 2012

[IT30]                        Invited talk at the DOE Collaboratory on Mathematics for Mesoscopic Modeling of Materials Kick-off Meeting, Seattle, September 10, 2012.

[IT31]   Invited talk at the 2012 DOE PNNL Computational Sciences and Mathematics All Hands Meeting, Richland, WA, August 16, 2012.

[IT32] Invited talk at the Carbon Sequestration Initiative Annual Review, Richland, WA, August 18, 2012.

[IT33] Invited talk at the DOE ASCR Exascale Research Conference, Portland, OR on April 17, 2012.

[IT34] Invited seminar at Beijing Computational Science Research Center, Beijing, China on May 21, 2012.

[IT35] Invited Seminar at the State Key Laboratory of Scientific and Engineering Computing, Beijing, China on May 21, 2012.

[IT36]  Invited seminar at the Second International Conference on Scientific Computing, Nanjing, China on May 24, 2012. 

[IT37]  Invited seminar at the conference on “Challenges in Geometry, Analysis, and Computation: High-Dimensional Synthesis”, New Haven, CT, 2012.

[IT38]                        Invited talk at the 2012 Joint CMSD/CSMD session on PNNL FCSD Directorate Advisory Committee Meeting in Richland, WA, June 12, 2012.

[IT39] Invited talk at the Joint Session CSMD and CMSD Material Genome, Directorate Advisory Committee Meeting, Richland, WA, June 12, 2012.

[IT40]                        Invited poster at the FCSD Joint Poster Session, Directorate Advisory Committee Meeting, Richland, WA, June 12, 2012.

[IT41]  Invited seminar in Department of Mathematics at Univ. of South Carolina, Columbia, SC on April 6, 2012.

[IT42]Invited seminar in Department of Mathematics at Louisiana State University, Baton Rouge, LA, March 13, 2012.

[IT43] Invited seminar at the Undergraduate Mathematical Sciences Seminar at University of Washington, Feb. 16, 2012, Seattle, WA. 

[IT44]Invited talk at the 1st CESM UQ and Analysis Interest Group Meeting, Jan 31, 2012, Boulder, WA.

 

2011

 

[IT45] Invited talk at the 1st Sim-SEQ Workshop, San Francisco, CA on December 6, 2011.

[IT46]Invited seminar at the Society of Petroleum Engineering Golden Gate Section Distinguished Lecture, San Francisco, CA on December 8, 2011

[IT47] Invited seminar at the Seminar in Aeronautics & Astronautics Department, University of Washington, Dec. 2, 2011, Seattle, WA.

[IT48]                        Invited seminar at the Department of Applied Mathematics Colloquium, Penn. State University, Nov. 4, 2011, University Park, PA. 

[IT49]Invited seminar at the Department of Applied Mathematics Pizza Seminar, Penn. State University, Nov. 4, 2011, University Park, PA. 

[IT50]Invited seminar 1 at the 2011 DOE Applied Math Program PI Meeting, October 17-19, Washington D.C.

[IT51]  Invited seminar 2 at the 2011 DOE Applied Math Program PI Meeting, October 17-19, Washington D.C.

[IT52] Invited talk at the 2011 DOE Climate PI Meeting, September 19-22, Washington D.C.

[IT53] Invited talk “Uncertainty Quantification for CCSI”, at the 2011 Carbon Capture Simulation Initiative Industry Workshop, September 26-28, 2011, Morgantown, WV.

[IT54] Invited talk “Uncertainty Quantification Methods and Software for Carbon Capture Simulation”, at the 2011 Carbon Capture Simulation Initiative Industry Workshop, September 26-28, Morgantown, WV.

[IT55] Invited talk “A Software System for Uncertainty Quantification and its Application to the CCSI MEA Process Model”, at the 2011 Carbon Capture Simulation Initiative Industry Workshop, September 26-28, Morgantown, WV.

[IT56] Invited talk “Solid Sorbent Simulation: Early Development and UQ Evaluation Tools”, at the 2011 Carbon Capture Simulation Initiative Industry Workshop, September 26-28, Morgantown, WV.

[IT57] Invited seminar at the Department of Mathematics, Colorado State University, July 15, 2011, Fort Collins, Colorado.

[IT58]Invited poster at the Department of Energy SciDAC 2011 PI meeting, July 10-14 2011, Denver, Colorado.

[IT59] Invited talk at the “Uncertainty Quantification in Computational Fluid Dynamics” invited session, 20th AIAA Computational Fluid Dynamics Conference, Honolulu, Hawaii, June 27-30, 2011.

[IT60]                        Invited talk at the workshop "Uncertainty Quantification in Industrial and Energy Applications: Experiences and Challenges", June 2-4 2011, at the Institute for Mathematics and its Applications (IMA) in Minneapolis, MN.

[IT61]  Invited seminar at the Applied and Computational Mathematics Seminar, California Technology Institute, May 9th 2011, Pasadena, CA.

[IT62]Invited seminar at Applied Mathematics Colloquium, University of Washington, April 21 2011, Seattle, WA.

[IT63] Invited talk at the IAMCS Workshop in Large-Scale Inverse Problems and Uncertainty Quantification, February 25th, 2011, Texas A&M University, College Station, Texas.

[IT64]Invited seminar at the Petroleum Engineering Department Colloquium, Colorado School of Mines, February 11th, 2011, Golden, Colorado.

[IT65] Invited seminar in the Mathematics Department at University of North Carolina Charlotte, Charlotte, NC on February 7, 2011.

 

2010

 

[IT66]Invited seminar at the Division of Applied Mathematics, Brown University, December 17th, 2010, Providence, RI.

[IT67] Invited seminar at the Department of Mathematics Colloquium, Iowa State University, December 7th, 2010, Ames, IA.

[IT68]                        Invited seminar at the Department of Civil Engineering, University of Southern California, December 1th, 2010, Los Angeles, CA.

[IT69]Invited seminar at the Department of Applied Mathematics, University of Washington, November 22nd, 2010, Seattle, WA.

[IT70] Invited talk at the "Mapping Out Future Directions for Uncertainty Quantification in Scientific Inference" conference, November 5, 2010, Santa Fe, NM.

[IT71]   Invited seminar at the Department of Department of Applied Mathematics, SUNY Stony Brook University, September 8th, 2010, Stony Brook, NY.

[IT72] Invited talk at the FY 2011 Nuclear Energy University Programs Workshop, July 27-28, 2010, Rockville, MD.

[IT73] Invited talk at CMSD Division Advisory Committee Meeting, June 15th, 2010, Richland, WA

[IT74] Invited talk at CSM Division Advisory Committee Meeting, June 15th, 2010, Richland, WA

[IT75] Invited seminar at the PNNL Brown Bag Seminar, May 27, 2010, Richland, WA.

[IT76] Invited talk at the 2010 DOE Applied Mathematics Program Meeting, May 4, 2010, Berkeley, CA.

 

2009

 

[IT77]  Invited seminar at the Aerospace computational design lab, MIT, December 4th, 2009, Boston, MA.

[IT78] Invited talk at Princeton Plasma Physics Laboratory, November 30th, 2009, Princeton, NJ.

[IT79] Invited talk at the Mini-Symposium on Uncertainty Quantification in Simulations of Fluid Flow, Presented at the 62nd Annual Meeting of the APS Division of Fluid Dynamics, November 22nd, 2009, Minneapolis, Minnesota.

[IT80]                        Invited talk at the Real-time Model Validation and Calibration (RTMV) kick-off meeting, November 11th, 2009, Richland, WA.

[IT81]  Invited talk at DOE ASCR Applied Math Program’ PNNL visit, September 2nd, 2009, Richland, WA.

[IT82]                        Invited seminar at the Applied Mathematics Colloquium, in the Department of Applied Mathematics, University of Washington, March 12th 2009, Seattle, WA.

 

2008

 

[IT83]                        Invited seminar at the PNNL CSM Development Brown Bag, Dec. 18th, 2008, Richland, WA.

[IT84]                        Invited seminar at the Center for Applied Mathematics Colloquium, University of Notre Dame, November 10th, 2008, Notre Dame, IN. 

[IT85]Invited seminar at the 2008 DOE Summer School in Multiscale Mathematics and High Performance Computing, Washington State University-Tri-Cities, August 5th, Richland, WA. 

[IT86]                        Invited graduate seminar in the Department of Aeronautics & Astronautics, University of Washington, January 18th, 2008, Seattle, WA.