| Year |
Citation |
Score |
| 2021 |
Kharazmi E, Cai M, Zheng X, Zhang Z, Lin G, Karniadakis GE. Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks. Nature Computational Science. 1: 744-753. PMID 38217142 DOI: 10.1038/s43588-021-00158-0 |
0.424 |
|
| 2021 |
Zhang S, Ponce J, Zhang Z, Lin G, Karniadakis G. An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City. Plos Computational Biology. 17: e1009334. PMID 34495965 DOI: 10.1371/journal.pcbi.1009334 |
0.442 |
|
| 2020 |
Karagiannis G, Hao W, Lin G. Calibrations and validations of biological models with an application on the renal fibrosis. International Journal For Numerical Methods in Biomedical Engineering. e3329. PMID 32101373 DOI: 10.1002/Cnm.3329 |
0.313 |
|
| 2020 |
Zhang J, Vrugt JA, Shi X, Lin G, Wu L, Zeng L. Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems With a Kalman‐Inspired Proposal Distribution Water Resources Research. 56. DOI: 10.1029/2019Wr025474 |
0.411 |
|
| 2020 |
Chen T, Ren Z, Lin G, Wu Z, Ye B. Real-time computational optimal control of an MHD flow system with parameter uncertainty quantification Journal of the Franklin Institute-Engineering and Applied Mathematics. 357: 2830-2850. DOI: 10.1016/J.Jfranklin.2019.12.013 |
0.399 |
|
| 2020 |
Huang Z, Lin G, Ardekani AM. Consistent and conservative scheme for incompressible two-phase flows using the conservative Allen-Cahn model Journal of Computational Physics. 420: 109718. DOI: 10.1016/J.Jcp.2020.109718 |
0.341 |
|
| 2020 |
Huang Z, Lin G, Ardekani AM. Consistent, essentially conservative and balanced-force Phase-Field method to model incompressible two-phase flows Journal of Computational Physics. 406: 109192. DOI: 10.1016/J.Jcp.2019.109192 |
0.362 |
|
| 2020 |
Wang Y, Lin G. Efficient deep learning techniques for multiphase flow simulation in heterogeneous porousc media Journal of Computational Physics. 401: 108968. DOI: 10.1016/J.Jcp.2019.108968 |
0.376 |
|
| 2020 |
Huang Y, Xu Q, Ding Y, Lin G, Du P. Efficient uncertainty quantification in economic re-dispatch under high wind penetration considering interruptible load International Journal of Electrical Power & Energy Systems. 121: 106104. DOI: 10.1016/J.Ijepes.2020.106104 |
0.317 |
|
| 2020 |
Gu Y, Yang X, Peng M, Lin G. Robust weighted SVD-type latent factor models for rating prediction Expert Systems With Applications. 141: 112885. DOI: 10.1016/J.Eswa.2019.112885 |
0.322 |
|
| 2020 |
Hao Z, Lin G, Zhang Z. Error estimates of a spectral Petrov–Galerkin method for two-sided fractional reaction–diffusion equations Applied Mathematics and Computation. 374: 125045. DOI: 10.1016/J.Amc.2020.125045 |
0.358 |
|
| 2020 |
Hao W, Hesthaven JS, Lin G, Zheng B. A homotopy method with adaptive basis selection for computing multiple solutions of differential equations Journal of Scientific Computing. 82: 19. DOI: 10.1007/S10915-020-01123-1 |
0.398 |
|
| 2019 |
Li J, Lin G, Huang Y. Decentralized Dynamic Power Management with Local Information Elektronika Ir Elektrotechnika. 25: 36-43. DOI: 10.5755/J01.Eie.25.1.22734 |
0.327 |
|
| 2019 |
Li J, Ou N, Lin G, Wei W. Compressive Sensing Based Stochastic Economic Dispatch With High Penetration Renewables Ieee Transactions On Power Systems. 34: 1438-1449. DOI: 10.1109/Tpwrs.2018.2874718 |
0.403 |
|
| 2019 |
Huang Y, Xu Q, Hu C, Sun Y, Lin G. Probabilistic State Estimation Approach for AC/MTDC Distribution System Using Deep Belief Network With Non-Gaussian Uncertainties Ieee Sensors Journal. 1-1. DOI: 10.1109/Jsen.2019.2926089 |
0.327 |
|
| 2019 |
Huang Y, Xu Q, Abedi S, Zhang T, Jiang X, Lin G. Stochastic Security Assessment for Power Systems With High Renewable Energy Penetration Considering Frequency Regulation Ieee Access. 7: 6450-6460. DOI: 10.1109/Access.2018.2880010 |
0.333 |
|
| 2019 |
Winovich N, Ramani K, Lin G. ConvPDE-UQ: Convolutional neural networks with quantified uncertainty for heterogeneous elliptic partial differential equations on varied domains Journal of Computational Physics. 394: 263-279. DOI: 10.1016/J.Jcp.2019.05.026 |
0.335 |
|
| 2019 |
Huang Z, Lin G, Ardekani AM. A mixed upwind/central WENO scheme for incompressible two-phase flows Journal of Computational Physics. 387: 455-480. DOI: 10.1016/J.Jcp.2019.02.043 |
0.361 |
|
| 2019 |
Wang Y, Hu K, Ren L, Lin G. Optimal observations-based retrieval of topography in 2D shallow water equations using PC-EnKF Journal of Computational Physics. 382: 43-60. DOI: 10.1016/J.Jcp.2019.01.004 |
0.382 |
|
| 2019 |
Wang Y, Ren L, Zhang Z, Lin G, Xu C. Sparsity-promoting elastic net method with rotations for high-dimensional nonlinear inverse problem Computer Methods in Applied Mechanics and Engineering. 345: 263-282. DOI: 10.1016/J.Cma.2018.10.040 |
0.397 |
|
| 2019 |
Hao Z, Park M, Lin G, Cai Z. Finite Element Method for Two-Sided Fractional Differential Equations with Variable Coefficients: Galerkin Approach Journal of Scientific Computing. 79: 700-717. DOI: 10.1007/S10915-018-0869-5 |
0.374 |
|
| 2019 |
Ou N, Jiang L, Lin G. A new bi‐fidelity model reduction method for Bayesian inverse problems International Journal For Numerical Methods in Engineering. 119: 941-963. DOI: 10.1002/Nme.6079 |
0.337 |
|
| 2018 |
Zhang S, Lin G. Robust data-driven discovery of governing physical laws with error bars. Proceedings. Mathematical, Physical, and Engineering Sciences. 474: 20180305. PMID 30333709 DOI: 10.1098/Rspa.2018.0305 |
0.357 |
|
| 2018 |
Du Y, Lin G. Turbulence generation from a stochastic wavelet model. Proceedings. Mathematical, Physical, and Engineering Sciences. 474: 20180093. PMID 30333698 DOI: 10.1098/Rspa.2018.0093 |
0.359 |
|
| 2018 |
Huang Y, Xu Q, Jiang X, Yang Y, Lin G. An Analytic Approach to Probabilistic Load Flow Incorporating Correlation Between Non-Gaussian Random Variables Elektronika Ir Elektrotechnika. 24: 61-67. DOI: 10.5755/J01.Eie.24.3.20980 |
0.377 |
|
| 2018 |
Wan X, Zheng B, Lin G. An Hp-Adaptive Minimum Action Method Based on a Posteriori Error Estimate Communications in Computational Physics. 23. DOI: 10.4208/Cicp.Oa-2017-0025 |
0.469 |
|
| 2018 |
Fang J, Lin G, Wan H. Analysis of a stage-structured dengue model Discrete and Continuous Dynamical Systems-Series B. 23: 4045-4061. DOI: 10.3934/Dcdsb.2018125 |
0.303 |
|
| 2018 |
Wang Y, Hao W, Lin G. Two-Level Spectral Methods for Nonlinear Elliptic Equations with Multiple Solutions Siam Journal On Scientific Computing. 40. DOI: 10.1137/17M113767X |
0.339 |
|
| 2018 |
Wang M, Lin G, Pothen A. Using automatic differentiation for compressive sensing in uncertainty quantification Optimization Methods & Software. 33: 799-812. DOI: 10.1080/10556788.2017.1359267 |
0.342 |
|
| 2018 |
Wang Y, Cheng Y, Zhang Z, Lin G. Calibration of reduced-order model for a coupled Burgers equations based on PC-EnKF Mathematical Modelling of Natural Phenomena. 13: 21. DOI: 10.1051/Mmnp/2018023 |
0.41 |
|
| 2018 |
Zhang J, Man J, Lin G, Wu L, Zeng L. Inverse Modeling of Hydrologic Systems with Adaptive Multifidelity Markov Chain Monte Carlo Simulations Water Resources Research. 54: 4867-4886. DOI: 10.1029/2018Wr022658 |
0.33 |
|
| 2018 |
Li J, Fang Z, Lin G. Regularity analysis of metamaterial Maxwell’s equations with random coefficients and initial conditions Computer Methods in Applied Mechanics and Engineering. 335: 24-51. DOI: 10.1016/J.Cma.2018.02.012 |
0.365 |
|
| 2018 |
Zhang J, Lin G, Li W, Wu L, Zeng L. An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions Water Resources Research. 54: 1716-1733. DOI: 10.1002/2017Wr020906 |
0.388 |
|
| 2017 |
Biswas A, Lin G, Liu X, Shen HW. Visualization of Time-Varying Weather Ensembles across Multiple Resolutions. Ieee Transactions On Visualization and Computer Graphics. 23: 841-850. PMID 27875198 DOI: 10.1109/Tvcg.2016.2598869 |
0.36 |
|
| 2017 |
Wang J, Liu X, Shen HW, Lin G. Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots. Ieee Transactions On Visualization and Computer Graphics. 23: 81-90. PMID 27875136 DOI: 10.1109/Tvcg.2016.2598830 |
0.35 |
|
| 2017 |
Qiu T, Chen Y, Karagiannis G, Lin G. Model Selection Using Gaussian Mixture Models and Parallel Computing The Journal of Purdue Undergraduate Research. 7: 23. DOI: 10.4231/D38C9R53M |
0.315 |
|
| 2017 |
Konomi BA, Karagiannis G, Lai K, Lin G. Bayesian Treed Calibration: An Application to Carbon Capture With AX Sorbent Journal of the American Statistical Association. 112: 37-53. DOI: 10.1080/01621459.2016.1190279 |
0.399 |
|
| 2017 |
Ibragimov R, Lin G. Nonlinear Analysis of Perturbed Rotating Whirlpools in the Ocean and Atmosphere Mathematical Modelling of Natural Phenomena. 12: 94-114. DOI: 10.1051/Mmnp/201712106 |
0.328 |
|
| 2017 |
Karagiannis G, Konomi BA, Lin G. On the Bayesian calibration of expensive computer models with input dependent parameters Spatial Statistics. 34: 100258. DOI: 10.1016/J.Spasta.2017.08.002 |
0.401 |
|
| 2017 |
Karagiannis G, Lin G. On the Bayesian calibration of computer model mixtures through experimental data, and the design of predictive models Journal of Computational Physics. 342: 139-160. DOI: 10.1016/J.Jcp.2017.04.003 |
0.379 |
|
| 2017 |
Chen L, Zheng B, Lin G, Voulgarakis N. A two-level stochastic collocation method for semilinear elliptic equations with random coefficients Journal of Computational and Applied Mathematics. 315: 195-207. DOI: 10.1016/J.Cam.2016.10.030 |
0.375 |
|
| 2017 |
Hao Z, Cao W, Lin G. A second-order difference scheme for the time fractional substantial diffusion equation Journal of Computational and Applied Mathematics. 313: 54-69. DOI: 10.1016/J.Cam.2016.09.006 |
0.353 |
|
| 2017 |
Purvine E, Cotilla-Sanchez E, Halappanavar M, Huang Z, Lin G, Lu S, Wang S. Comparative study of clustering techniques for real-time dynamic model reduction Statistical Analysis and Data Mining. 10: 263-276. DOI: 10.1002/Sam.11352 |
0.323 |
|
| 2017 |
Zhang J, Li W, Lin G, Zeng L, Wu L. Efficient evaluation of small failure probability in high‐dimensional groundwater contaminant transport modeling via a two‐stage Monte Carlo method Water Resources Research. 53: 1948-1962. DOI: 10.1002/2016Wr019518 |
0.315 |
|
| 2016 |
Bright I, Lin G, Kutz JN. Classification of Spatiotemporal Data via Asynchronous Sparse Sampling: Application to Flow around a Cylinder Multiscale Modeling & Simulation. 14: 823-838. DOI: 10.1137/15M1023609 |
0.357 |
|
| 2016 |
Li W, Lin G, Li B. Inverse regression-based uncertainty quantification algorithms for high-dimensional models Journal of Computational Physics. 321: 259-278. DOI: 10.1016/J.Jcp.2016.05.040 |
0.402 |
|
| 2016 |
Liao Q, Lin G. Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs Journal of Computational Physics. 317: 148-164. DOI: 10.1016/J.Jcp.2016.04.029 |
0.423 |
|
| 2016 |
Wang H, Lin G, Li J. Gaussian process surrogates for failure detection: A Bayesian experimental design approach Journal of Computational Physics. 313: 247-259. DOI: 10.1016/J.Jcp.2016.02.053 |
0.359 |
|
| 2016 |
Yang X, Lei H, Baker NA, Lin G. Enhancing sparsity of Hermite polynomial expansions by iterative rotations Journal of Computational Physics. 307: 94-109. DOI: 10.1016/J.Jcp.2015.11.038 |
0.377 |
|
| 2016 |
Xu Z, Tipireddy R, Lin G. Analytical approximation and numerical studies of one-dimensional elliptic equation with random coefficients Applied Mathematical Modelling. 40: 5542-5559. DOI: 10.1016/J.Apm.2015.12.041 |
0.329 |
|
| 2016 |
Karagiannis G, Konomi BA, Lin G, Liang F. Parallel and interacting stochastic approximation annealing algorithms for global optimisation Statistics and Computing. 1-19. DOI: 10.1007/S11222-016-9663-0 |
0.373 |
|
| 2016 |
Ginting V, Lin G, Liu J. On Application of the Weak Galerkin Finite Element Method to a Two-Phase Model for Subsurface Flow Journal of Scientific Computing. 66: 225-239. DOI: 10.1007/S10915-015-0021-8 |
0.379 |
|
| 2015 |
Lei H, Yang X, Zheng B, Lin G, Baker NA. CONSTRUCTING SURROGATE MODELS OF COMPLEX SYSTEMS WITH ENHANCED SPARSITY: QUANTIFYING THE INFLUENCE OF CONFORMATIONAL UNCERTAINTY IN BIOMOLECULAR SOLVATION. Multiscale Modeling & Simulation : a Siam Interdisciplinary Journal. 13: 1327-1353. PMID 26766929 DOI: 10.1137/140981587 |
0.386 |
|
| 2015 |
Herschlag GJ, Mitran S, Lin G. A consistent hierarchy of generalized kinetic equation approximations to the master equation applied to surface catalysis. The Journal of Chemical Physics. 142: 234703. PMID 26093569 DOI: 10.1063/1.4922515 |
0.382 |
|
| 2015 |
Konomi BA, Lin G. Low-cost multi-dimensional Gaussian process with application to uncertainty quantification International Journal For Uncertainty Quantification. 5: 375-392. DOI: 10.1615/Int.J.Uncertaintyquantification.2015007941 |
0.421 |
|
| 2015 |
Sousa ÉM, Lin G, Shumlak U. Uncertainty quantification of the gem challenge magnetic reconnection problem using the multilevel Monte Carlo method International Journal For Uncertainty Quantification. 5: 327-339. DOI: 10.1615/Int.J.Uncertaintyquantification.2015006492 |
0.368 |
|
| 2015 |
Hao Zp, Lin G, Sun Zz. A high-order difference scheme for the fractional sub-diffusion equation International Journal of Computer Mathematics. 1-22. DOI: 10.1080/00207160.2015.1109642 |
0.344 |
|
| 2015 |
Konomi B, Karagiannis G, Lin G. On the bayesian treed multivariate gaussian process with linear model of coregionalization Journal of Statistical Planning and Inference. 157: 1-15. DOI: 10.1016/J.Jspi.2014.08.010 |
0.387 |
|
| 2015 |
Zhang B, Konomi BA, Sang H, Karagiannis G, Lin G. Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions Journal of Computational Physics. 300: 623-642. DOI: 10.1016/J.Jcp.2015.08.006 |
0.396 |
|
| 2015 |
Li J, Lin G, Yang X. A frozen Gaussian approximation-based multi-level particle swarm optimization for seismic inversion Journal of Computational Physics. 296: 58-71. DOI: 10.1016/J.Jcp.2015.04.050 |
0.363 |
|
| 2015 |
Li W, Lin G. An adaptive importance sampling algorithm for Bayesian inversion with multimodal distributions Journal of Computational Physics. 294: 173-190. DOI: 10.1016/J.Jcp.2015.03.047 |
0.406 |
|
| 2015 |
Karagiannis G, Konomi BA, Lin G. A Bayesian mixed shrinkage prior procedure for spatial-stochastic basis selection and evaluation of gPC expansions: Applications to elliptic SPDEs Journal of Computational Physics. 284: 528-546. DOI: 10.1016/J.Jcp.2014.12.034 |
0.388 |
|
| 2015 |
Hao W, Xu Z, Liu C, Lin G. A fictitious domain method with a hybrid cell model for simulating motion of cells in fluid flow Journal of Computational Physics. 280: 345-362. DOI: 10.1016/J.Jcp.2014.09.020 |
0.406 |
|
| 2015 |
Lin G, Liu J, Sadre-Marandi F. A comparative study on the weak Galerkin, discontinuous Galerkin, and mixed finite element methods Journal of Computational and Applied Mathematics. 273: 346-362. DOI: 10.1016/J.Cam.2014.06.024 |
0.343 |
|
| 2014 |
Shi X, Lin G. Modeling the Sedimentation of Red Blood Cells in Flow under Strong External Magnetic Body Force using a Lattice Boltzmann Fictitious Domain Method Numerical Mathematics-Theory Methods and Applications. 7: 512-523. DOI: 10.4208/Nmtma.2014.1306Si |
0.353 |
|
| 2014 |
Lin G, Bao J, Xu Z, Tartakovsky AM, Henager CH. A Phase-Field Model Coupled with Lattice Kinetics Solver for Modeling Crystal Growth in Furnaces Communications in Computational Physics. 15: 76-92. DOI: 10.4208/Cicp.300612.210313A |
0.338 |
|
| 2014 |
Zhang Z, Hu X, Hou TY, Lin G, Yan M. An adaptive ANOVA-based data-driven stochastic method for elliptic PDEs with random coefficient Communications in Computational Physics. 16: 571-598. DOI: 10.4208/Cicp.270913.020414A |
0.431 |
|
| 2014 |
Meng D, Zheng B, Lin G, Sushko ML. Numerical Solution of 3D Poisson-Nernst-Planck Equations Coupled with Classical Density Functional Theory for Modeling Ion and Electron Transport in a Confined Environment Communications in Computational Physics. 16: 1298-1322. DOI: 10.4208/Cicp.040913.120514A |
0.342 |
|
| 2014 |
Yan H, Qian Y, Lin G, Leung LR, Yang B, Fu Q. Parametric sensitivity and calibration for the Kain-Fritsch convective parameterization scheme in the WRF model Climate Research. 59: 135-147. DOI: 10.3354/Cr01213 |
0.372 |
|
| 2014 |
Wei J, Lin G, Jiang L, Efendiev Y. ANALYSIS OF VARIANCE-BASED MIXED MULTISCALE FINITE ELEMENT METHOD AND APPLICATIONS IN STOCHASTIC TWO-PHASE FLOWS International Journal For Uncertainty Quantification. 4: 455-477. DOI: 10.1615/Int.J.Uncertaintyquantification.2014006135 |
0.449 |
|
| 2014 |
Lin G, Elizondo M, Lu S, Wan X. 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: 185-204. DOI: 10.1615/Int.J.Uncertaintyquantification.2013003479 |
0.562 |
|
| 2014 |
Wang S, Lu S, Zhou N, Lin G, Elizondo M, Pai MA. Dynamic-Feature Extraction, Attribution, and Reconstruction (DEAR) Method for Power System Model Reduction Ieee Transactions On Power Systems. 29: 2049-2059. DOI: 10.1109/Tpwrs.2014.2301032 |
0.349 |
|
| 2014 |
Liang F, Cheng Y, Lin G. Simulated Stochastic Approximation Annealing for Global Optimization With a Square-Root Cooling Schedule Journal of the American Statistical Association. 109: 847-863. DOI: 10.1080/01621459.2013.872993 |
0.34 |
|
| 2014 |
Konomi B, Karagiannis G, Sarkar A, Sun X, Lin G. Bayesian treed multivariate gaussian process with adaptive design: Application to a carbon capture unit Technometrics. 56: 145-158. DOI: 10.1080/00401706.2013.879078 |
0.391 |
|
| 2014 |
Lin G, Liu J, Mu L, Ye X. Weak Galerkin finite element methods for Darcy flow: Anisotropy and heterogeneity Journal of Computational Physics. 276: 422-437. DOI: 10.1016/J.Jcp.2014.07.001 |
0.38 |
|
| 2014 |
Li W, Lin G, Zhang D. An adaptive ANOVA-based PCKF for high-dimensional nonlinear inverse modeling Journal of Computational Physics. 258: 752-772. DOI: 10.1016/J.Jcp.2013.11.019 |
0.369 |
|
| 2014 |
Karagiannis G, Lin G. 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. DOI: 10.1016/J.Jcp.2013.11.016 |
0.444 |
|
| 2014 |
Shao S, Abdolrahim N, Bahr DF, Lin G, Zbib HM. Stochastic effects in plasticity in small volumes International Journal of Plasticity. 52: 117-132. DOI: 10.1016/J.Ijplas.2013.09.005 |
0.312 |
|
| 2014 |
Hou Z, Bacon DH, Engel DW, Lin G, Fang Y, Ren H, Fang Z. Uncertainty analyses of CO2 plume expansion subsequent to wellbore CO2 leakage into aquifers International Journal of Greenhouse Gas Control. 27: 69-80. DOI: 10.1016/J.Ijggc.2014.05.004 |
0.37 |
|
| 2014 |
Lin G, Bao J, Xu Z. A three-dimensional phase field model coupled with a lattice kinetics solver for modeling crystal growth in furnaces with accelerated crucible rotation and traveling magnetic field Computers & Fluids. 103: 204-214. DOI: 10.1016/J.Compfluid.2014.07.027 |
0.32 |
|
| 2014 |
Guo Z, Wang M, Qian Y, Larson VE, Ghan S, Ovchinnikov M, Bogenschutz PA, Zhao C, Lin G, Zhou T. 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: 829-858. DOI: 10.1002/2014Ms000315 |
0.35 |
|
| 2013 |
Zhao C, Liu X, Qian Y, Yoon J, Hou Z, Lin G, McFarlane S, Wang H, Yang B, Ma PL, Yan H, Bao J. A sensitivity study of radiative fluxes at the top of atmosphere to cloud-microphysics and aerosol parameters in the community atmosphere model CAM5 Atmospheric Chemistry and Physics. 13: 10969-10987. DOI: 10.5194/Acp-13-10969-2013 |
0.346 |
|
| 2013 |
Yang B, Qian Y, Lin G, Leung LR, Rasch PJ, Zhang GJ, Mcfarlane SA, Zhao C, Zhang Y, Wang H, Wang M, Liu X. Uncertainty quantification and parameter tuning in the cam5 zhang-mcfarlane convection scheme and impact of improved convection on the global circulation and climate Journal of Geophysical Research Atmospheres. 118: 395-415. DOI: 10.1029/2012Jd018213 |
0.338 |
|
| 2013 |
Bilionis I, Zabaras N, Konomi BA, Lin G. Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification Journal of Computational Physics. 241: 212-239. DOI: 10.1016/J.Jcp.2013.01.011 |
0.419 |
|
| 2013 |
Zhang Z, Yang X, Lin G, Karniadakis GE. Numerical solution of the Stratonovich- and Ito–Euler equations: Application to the stochastic piston problem Journal of Computational Physics. 236: 15-27. DOI: 10.1016/J.Jcp.2012.11.017 |
0.528 |
|
| 2013 |
White SK, Gosink L, Sivaramakrishnan C, Black GD, Purohit S, Bacon DH, Hou Z, Lin G, Gorton I, Bonneville A. Implementations of a flexible framework for managing geologic sequestration modeling projects Energy Procedia. 37: 3971-3979. DOI: 10.1016/J.Egypro.2013.06.296 |
0.326 |
|
| 2013 |
Bao J, Xu Z, Lin G, Fang Y. Evaluating the impact of aquifer layer properties on geomechanical response during CO2 geological sequestration Computers & Geosciences. 54: 28-37. DOI: 10.1016/J.Cageo.2013.01.015 |
0.358 |
|
| 2013 |
Hou Z, Engel DW, Lin G, Fang Y, Fang Z. An Uncertainty Quantification Framework for Studying the Effect of Spatial Heterogeneity in Reservoir Permeability on CO2 Sequestration Mathematical Geosciences. 45: 799-817. DOI: 10.1007/S11004-013-9459-0 |
0.357 |
|
| 2013 |
Bao J, Hou Z, Fang Y, Ren H, Lin G. Uncertainty quantification for evaluating impacts of caprock and reservoir properties on pressure buildup and ground surface displacement during geological CO2 sequestration Greenhouse Gases-Science and Technology. 3: 338-358. DOI: 10.1002/Ghg.1362 |
0.342 |
|
| 2012 |
Balter A, Lin G, Tartakovsky AM. Effect of nonlinearity in hybrid kinetic Monte Carlo-continuum models. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 85: 016707. PMID 22400701 DOI: 10.1103/Physreve.85.016707 |
0.391 |
|
| 2012 |
Yang B, Qian Y, Lin G, Leung R, Zhang Y. 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: 2409-2427. DOI: 10.5194/Acp-12-2409-2012 |
0.385 |
|
| 2012 |
Meng D, Lin G, Sushko ML. An Efficient Implementation of Multiscale Simulation Software PNP-cDFT Mrs Proceedings. 1470. DOI: 10.1557/Opl.2012.1202 |
0.333 |
|
| 2012 |
Hou Z, Huang M, Leung LR, Lin G, Ricciuto DM. Sensitivity of surface flux simulations to hydrologic parameters based on an uncertainty quantification framework applied to the Community Land Model Journal of Geophysical Research. 117. DOI: 10.1029/2012Jd017521 |
0.347 |
|
| 2012 |
Yang X, Choi M, Lin G, Karniadakis GE. Adaptive ANOVA decomposition of stochastic incompressible and compressible flows Journal of Computational Physics. 231: 1587-1614. DOI: 10.1016/J.Jcp.2011.10.028 |
0.578 |
|
| 2011 |
Xu Z, Liu Y, Du H, Lin G, Shu CW. Point-wise hierarchical reconstruction for discontinuous Galerkin and finite volume methods for solving conservation laws Journal of Computational Physics. 230: 6843-6865. DOI: 10.1016/J.Jcp.2011.05.014 |
0.382 |
|
| 2010 |
Lin G, Tartakovsky A, Tartakovsky D. Uncertainty quantification via random domain decomposition and probabilistic collocation on sparse grids Journal of Computational Physics. 229: 6995-7012. DOI: 10.1016/J.Jcp.2010.05.036 |
0.401 |
|
| 2010 |
Lin G, Tartakovsky AM. Numerical Studies of Three-dimensional Stochastic Darcy’s Equation and Stochastic Advection-Diffusion-Dispersion Equation Journal of Scientific Computing. 43: 92-117. DOI: 10.1007/S10915-010-9346-5 |
0.374 |
|
| 2009 |
Lin G, Tartakovsky AM. 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. 32: 712-722. DOI: 10.1016/J.Advwatres.2008.09.003 |
0.434 |
|
| 2009 |
Wu W, Lin G. Basic function scheme of polynomial type Applied Mathematics and Mechanics-English Edition. 30: 1091-1103. DOI: 10.1007/S10483-009-0903-Y |
0.352 |
|
| 2009 |
Lin G, Karniadakis GE. Sensitivity analysis and stochastic simulations of non-equilibrium plasma flow International Journal For Numerical Methods in Engineering. 80: 738-766. DOI: 10.1002/Nme.2582 |
0.559 |
|
| 2008 |
Lin G, Su CH, Karniadakis GE. Stochastic modeling of random roughness in shock scattering problems: Theory and simulations Computer Methods in Applied Mechanics and Engineering. 197: 3420-3434. DOI: 10.1016/J.Cma.2008.02.025 |
0.573 |
|
| 2008 |
Lin G, Karniadakis GE. Stochastic simulations and sensitivity analysis of plasma flow 46th Aiaa Aerospace Sciences Meeting and Exhibit. |
0.422 |
|
| 2007 |
Lin G, Su CH, Karniadakis GE. Random roughness enhances lift in supersonic flow. Physical Review Letters. 99: 104501. PMID 17930389 DOI: 10.1103/Physrevlett.99.104501 |
0.477 |
|
| 2007 |
Lin G, Wan X, Su C, Karniadakis G. Stochastic Computational Fluid Mechanics Computing in Science and Engineering. 9: 21-29. DOI: 10.1109/Mcse.2007.38 |
0.651 |
|
| 2006 |
Lin G, Su CH, Karniadakis GE. Predicting shock dynamics in the presence of uncertainties Journal of Computational Physics. 217: 260-276. DOI: 10.1016/J.Jcp.2006.02.009 |
0.588 |
|
| 2006 |
Lin G, Grinberg L, Karniadakis GE. Numerical studies of the stochastic Korteweg-de Vries equation Journal of Computational Physics. 213: 676-703. DOI: 10.1016/J.Jcp.2005.08.029 |
0.544 |
|
| 2006 |
Lin G, Karniadakis GE. A discontinuous Galerkin method for two-temperature plasmas Computer Methods in Applied Mechanics and Engineering. 195: 3504-3527. DOI: 10.1016/J.Cma.2005.06.024 |
0.515 |
|
| 2006 |
Lin G, Su CH, Karniadakis GE. Modeling random roughness in supersonic flow past a wedge Collection of Technical Papers - 44th Aiaa Aerospace Sciences Meeting. 3: 1591-1602. |
0.527 |
|
| 2004 |
Lin G, Su CH, Karniadakis GE. The stochastic piston problem. Proceedings of the National Academy of Sciences of the United States of America. 101: 15840-5. PMID 15514024 DOI: 10.1073/Pnas.0405889101 |
0.495 |
|
| Show low-probability matches. |