Bio


Professor Sun is currently visiting Stanford during the 2022-2023 academic year. He is an associate professor of civil engineering and engineering mechanics at Columbia University. He obtained his B.S. from UC Davis (2005); M.S. in civil engineering (geomechanics) from Stanford (2007); M.A. degree from Princeton (2008); and Ph.D. in theoretical and applied mechanics from Northwestern (2011). From 2011-2014, he worked in the mechanics of materials department at Sandia National Laboratories (Livermore, CA), first as a postdoc, then promoted to the rank of a senior member of technical staff in 2013. Sun's recent research interest is in high-precision machine learning and data-driven natural and man-made materials modeling. Dr. Sun has published over 70 journal articles. His research has been recognized by several awards across the globe, including the John Argyris Award from IACM, Leonard de Vinci Award from ASCE EMI, Zienkiewicz Numerical Methods in Engineering Prize, among others.

Academic Appointments


  • Visiting Associate Professor, Civil and Environmental Engineering

All Publications


  • Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter COMPUTATIONAL MECHANICS Villarreal, R., Vlassis, N. N., Phan, N. N., Catanach, T. A., Jones, R. E., Trask, N. A., Kramer, S. B., Sun, W. 2023
  • Distance-preserving manifold denoising for data-driven mechanics COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Bahmani, B., Sun, W. 2023; 405
  • Geometric learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Vlassis, N. N., Sun, W. 2023; 404
  • Domain partitioning material point method for simulating shock in polycrystalline energetic materials COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Ma, R., Sun, W., Picu, C. R., Sewell, T. 2023; 404
  • Geometric prior of multi-resolution yielding manifolds and the local closest point projection for nearly non-smooth plasticity COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Xiao, M., Sun, W. 2022; 400
  • Manifold embedding data-driven mechanics JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS Bahmani, B., Sun, W. 2022; 166
  • Freezing-induced stiffness and strength anisotropy in freezing clayey soil: Theory, numerical modeling, and experimental validation INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS Yin, Q., Ando, E., Viggiani, G., Sun, W. 2022; 46 (11): 2087-2114

    View details for DOI 10.1002/nag.3380

    View details for Web of Science ID 000811579400001

  • Multi-phase-field microporomechanics model for simulating ice-lens growth in frozen soil INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS Suh, H., Sun, W. 2022; 46 (12): 2307-2336

    View details for DOI 10.1002/nag.3408

    View details for Web of Science ID 000805082000001

  • Synthesizing controlled microstructures of porous media using generative adversarial networks and reinforcement learning SCIENTIFIC REPORTS Nguyen, P. H., Vlassis, N. N., Bahmani, B., Sun, W., Udaykumar, H. S., Baek, S. S. 2022; 12 (1): 9034

    Abstract

    For material modeling and discovery, synthetic microstructures play a critical role as digital twins. They provide stochastic samples upon which direct numerical simulations can be conducted to populate material databases. A large ensemble of simulation data on synthetic microstructures may provide supplemental data to inform and refine macroscopic material models, which might not be feasible from physical experiments alone. However, synthesizing realistic microstructures with realistic microstructural attributes is highly challenging. Thus, it is often oversimplified via rough approximations that may yield an inaccurate representation of the physical world. Here, we propose a novel deep learning method that can synthesize realistic three-dimensional microstructures with controlled structural properties using the combination of generative adversarial networks (GAN) and actor-critic (AC) reinforcement learning. The GAN-AC combination enables the generation of microstructures that not only resemble the appearances of real specimens but also yield user-defined physical quantities of interest (QoI). Our validation experiments confirm that the properties of synthetic microstructures generated by the GAN-AC framework are within a 5% error margin with respect to the target values. The scientific contribution of this paper resides in the novel design of the GAN-AC microstructure generator and the mathematical and algorithmic foundations therein. The proposed method will have a broad and substantive impact on the materials community by providing lenses for analyzing structure-property-performance linkages and for implementing the notion of 'materials-by-design'.

    View details for DOI 10.1038/s41598-022-12845-7

    View details for Web of Science ID 000803920600029

    View details for PubMedID 35641549

    View details for PubMedCentralID PMC9156766

  • Molecular dynamics inferred transfer learning models for finite-strain hyperelasticity of monoclinic crystals: Sobolev training and validations against physical constraints INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING Vlassis, N. N., Zhao, P., Ma, R., Sewell, T., Sun, W. 2022; 123 (17): 3922-3949

    View details for DOI 10.1002/nme.6992

    View details for Web of Science ID 000790291000001

  • A finite micro-rotation material point method for micropolar solid and fluid dynamics with three-dimensional evolving contacts and free surfaces COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Ma, R., Sun, W. 2022; 391
  • Component-Based Machine Learning Paradigm for Discovering Rate-Dependent and Pressure-Sensitive Level-Set Plasticity Models JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME Vlassis, N. N., Sun, W. 2022; 89 (2)

    View details for DOI 10.1115/1.4052684

    View details for Web of Science ID 000735458900006

  • Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation GRANULAR MATTER Sun, X., Bahmani, B., Vlassis, N. N., Sun, W., Xu, Y. 2022; 24 (1)
  • Asynchronous phase field fracture model for porous media with thermally non-equilibrated constituents COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Suh, H., Sun, W. 2021; 387
  • DP-MPM: Domain partitioning material point method for evolving multi-body thermal-mechanical contacts during dynamic fracture and fragmentation COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Xiao, M., Liu, C., Sun, W. 2021; 385
  • Atomistic-model informed pressure-sensitive crystal plasticity for crystalline HMX INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES Ma, R., Sun, W., Picu, C. R. 2021; 232
  • A kd-tree-accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Bahmani, B., Sun, W. 2021; 382
  • A new finite element level set reinitialization method based on the shifted boundary method JOURNAL OF COMPUTATIONAL PHYSICS Xue, T., Sun, W., Adriaenssens, S., Wei, Y., Liu, C. 2021; 438
  • DNN2: A hyper-parameter reinforcement learning game for self-design of neural network based elasto-plastic constitutive descriptions COMPUTERS & STRUCTURES Fuchs, A., Heider, Y., Wang, K., Sun, W., Kaliske, M. 2021; 249
  • Phase field modeling of frictional slip with slip weakening/strengthening under non-isothermal conditions COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Bryant, E. C., Sun, W. 2021; 375
  • Sobolev training of thermodynamic-informed neural networks for interpretable elasto-plasticity models with level set hardening COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Vlassis, N. N., Sun, W. 2021; 377
  • An offline multi-scale unsaturated poromechanics model enabled by self-designed/self-improved neural networks INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS Heider, Y., Suh, H., Sun, W. 2021; 45 (9): 1212-1237

    View details for DOI 10.1002/nag.3196

    View details for Web of Science ID 000618551000001

  • A reduced-dimensional explicit discrete element solver for simulating granular mixing problems GRANULAR MATTER Zhong, X., Sun, W., Dai, Y. 2021; 23 (1)
  • An immersed phase field fracture model for microporomechanics with Darcy-Stokes flow PHYSICS OF FLUIDS Suh, H., Sun, W. 2021; 33 (1)

    View details for DOI 10.1063/5.0035602

    View details for Web of Science ID 000610547200001

  • A non-cooperative meta-modeling game for automated third-party calibrating, validating and falsifying constitutive laws with parallelized adversarial attacks COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Wang, K., Sun, W., Du, Q. 2021; 373
  • Phase field modeling of coupled crystal plasticity and deformation twinning in polycrystals with monolithic and splitting solvers INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING Ma, R., Sun, W. 2021; 122 (4): 1167-1189

    View details for DOI 10.1002/nme.6577

    View details for Web of Science ID 000589514300001

  • Shear Wave Splitting and Polarization in Anisotropic Fluid-Infiltrating Porous Media: A Numerical Study MATERIALS De Marchi, N., Sun, W., Salomoni, V. 2020; 13 (21)

    Abstract

    The triggering and spreading of volumetric waves in soils, namely pressure (P) and shear (S) waves, developing from a point source of a dynamic load, are analyzed. Wave polarization and shear wave splitting are innovatively reproduced via a three-dimensional Finite Element research code upgraded to account for fast dynamic regimes in fully saturated porous media. The mathematical-numerical model adopts a u-v-p formulation enhanced by introducing Taylor-Hood mixed finite elements and the stability features of the solution are considered by analyzing different implemented time integration strategies. Particularly, the phenomena have been studied and reconstructed by numerically generating different types of medium anisotropy accounting for (i) an anisotropic solid skeleton, (ii) an anisotropic permeability tensor, and (iii) a Biot's effective stress coefficient tensor. Additionally, deviatoric-volumetric coupling effects have been emphasized by specifically modifying the structural anisotropy. A series of analyses are conducted to validate the model and prove the effectiveness of the results, from the directionality of polarized vibrations, the anisotropy-induced splitting, up to the spreading of surface waves.

    View details for DOI 10.3390/ma13214988

    View details for Web of Science ID 000589215600001

    View details for PubMedID 33167540

    View details for PubMedCentralID PMC7663953

  • Geometric deep learning for computational mechanics Part I: anisotropic hyperelasticity COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Vlassis, N. N., Ma, R., Sun, W. 2020; 371
  • ILS-MPM: An implicit level-set-based material point method for frictional particulate contact mechanics of deformable particles COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Liu, C., Sun, W. 2020; 369
  • A phase field model for cohesive fracture in micropolar continua COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Suh, H., Sun, W., O'Connor, D. T. 2020; 369
  • Computational thermomechanics for crystalline rock. Part II: Chemo-damage-plasticity and healing in strongly anisotropic polycrystals COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Ma, R., Sun, W. 2020; 369
  • SO(3)-invariance of informed-graph-based deep neural network for anisotropic elastoplastic materials COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Heider, Y., Wang, K., Sun, W. 2020; 363
  • FFT-based solver for higher-order and multi-phase-field fracture models applied to strongly anisotropic brittle materials COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Ma, R., Sun, W. 2020; 362
  • Shift boundary material point method: an image-to-simulation workflow for solids of complex geometries undergoing large deformation COMPUTATIONAL PARTICLE MECHANICS Liu, C., Sun, W. 2020; 7 (2): 291-308
  • A phase field framework for capillary-induced fracture in unsaturated porous media: Drying-induced vs. hydraulic cracking COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Heider, Y., Sun, W. 2020; 359
  • Circumventing mesh bias by r- and h-adaptive techniques for variational eigenfracture INTERNATIONAL JOURNAL OF FRACTURE Qinami, A., Bryant, E., Sun, W., Kaliske, M. 2019; 220 (2): 129-142
  • A configurational force for adaptive re-meshing of gradient-enhanced poromechanics problems with history-dependent variables COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Na, S., Bryant, E. C., Sun, W. 2019; 357
  • A micromorphically regularized Cam-clay model for capturing size-dependent anisotropy of geomaterials COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Bryant, E. C., Sun, W. 2019; 354: 56-95
  • Open-source support toward validating and falsifying discrete mechanics models using synthetic granular materials-Part I: Experimental tests with particles manufactured by a 3D printer ACTA GEOTECHNICA Gupta, R., Salager, S., Wang, K., Sun, W. 2019; 14 (4): 923-937
  • A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation COMPUTATIONAL MECHANICS Wang, K., Sun, W., Du, Q. 2019; 64 (2): 467-499
  • Coupled flow network and discrete element modeling of injection-induced crack propagation and coalescence in brittle rock ACTA GEOTECHNICA Liu, G., Sun, W., Lowinger, S. M., Zhang, Z., Huang, M., Peng, J. 2019; 14 (3): 843-868
  • Meta-modeling game for deriving theory-consistent, microstructure-based traction-separation laws via deep reinforcement learning COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Wang, K., Sun, W. 2019; 346: 216-241
  • An updated Lagrangian LBM-DEM-FEM coupling model for dual-permeability fissured porous media with embedded discontinuities COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Wang, K., Sun, W. 2019; 344: 276-305
  • AN OPEN-SOURCE FENICS IMPLEMENTATION OF A PHASE FIELD FRACTURE MODEL FOR MICROPOLAR CONTINUA INTERNATIONAL JOURNAL FOR MULTISCALE COMPUTATIONAL ENGINEERING Suh, H., Sun, W. 2019; 17 (6): 639-663
  • A mixed-mode phase field fracture model in anisotropic rocks with consistent kinematics COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Bryant, E. C., Sun, W. 2018; 342: 561-584
  • Discrete element simulations of powder-bed sintering-based additive manufacturing INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES Xin, H., Sun, W., Fish, J. 2018; 149: 373-392
  • Computational thermomechanics of crystalline rock, Part I: A combined multi-phase-field/crystal plasticity approach for single crystal simulations COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Na, S., Sun, W. 2018; 338: 657-691
  • Cracking and damage from crystallization in pores: Coupled chemo-hydro-mechanics and phase-field modeling COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Choo, J., Sun, W. 2018; 335: 347-379
  • Prediction of permeability and formation factor of sandstone with hybrid lattice Boltzmann/finite element simulation on microtomographic images INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES Sun, W., Wong, T. 2018; 106: 269-277
  • A multiscale multi-permeability poroplasticity model linked by recursive homogenizations and deep learning COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Wang, K., Sun, W. 2018; 334: 337-380
  • Capturing the two-way hydromechanical coupling effect on fluid-driven fracture in a dual-graph lattice beam model INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS Ulven, O., Sun, W. 2018; 42 (5): 736-767

    View details for DOI 10.1002/nag.2763

    View details for Web of Science ID 000426611800002

  • Coupled phase-field and plasticity modeling of geological materials: From brittle fracture to ductile flow COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Choo, J., Sun, W. 2018; 330: 1-32
  • AN ADAPTIVE REDUCED-DIMENSIONAL DISCRETE ELEMENT MODEL FOR DYNAMIC RESPONSES OF GRANULAR MATERIALS WITH HIGH-FREQUENCY NOISES INTERNATIONAL JOURNAL FOR MULTISCALE COMPUTATIONAL ENGINEERING Zhong, X., Sun, W. 2018; 16 (4): 345-366
  • PREFACE: MULTISCALE COMPUTATIONAL ANALYSIS OF COMPLEX MATERIALS INTERNATIONAL JOURNAL FOR MULTISCALE COMPUTATIONAL ENGINEERING Mishnaevsky, L., Linder, C., Sun, W. 2018; 16 (4): V-VI
  • A hierarchical sequential ALE poromechanics model for tire-soil-water interaction on fluid-infiltrated roads INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING Wollny, I., Sun, W., Kaliske, M. 2017; 112 (8): 909-938

    View details for DOI 10.1002/nme.5537

    View details for Web of Science ID 000417420700003

  • Mixed Arlequin method for multiscale poromechanics problems INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING Sun, W., Cai, Z., Choo, J. 2017; 111 (7): 624-659

    View details for DOI 10.1002/nme.5476

    View details for Web of Science ID 000405890000002

  • Effects of spatial heterogeneity and material anisotropy on the fracture pattern and macroscopic effective toughness of Mancos Shale in Brazilian tests JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH Na, S., Sun, W., Ingraham, M. D., Yoon, H. 2017; 122 (8): 6202-6230
  • Computational thermo-hydro-mechanics for multiphase freezing and thawing porous media in the finite deformation range COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Na, S., Sun, W. 2017; 318: 667-700
  • A unified variational eigen-erosion framework for interacting brittle fractures and compaction bands in fluid-infiltrating porous media COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Wang, K., Sun, W. 2017; 318: 1-32
  • Anisotropy of a Tensorial Bishop's Coefficient for Wetted Granular Materials Wang, K., Sun, W. ASCE-AMER SOC CIVIL ENGINEERS. 2017
  • A SURROGATE MODELING APPROACH FOR ADDITIVE-MANUFACTURED MATERIALS INTERNATIONAL JOURNAL FOR MULTISCALE COMPUTATIONAL ENGINEERING Xin, H., Sun, W., Fish, J. 2017; 15 (6): 525-543
  • Data-driven Discrete-continuum Method for Partially Saturated Micro-polar Porous Media Wang, K., Sun, W., Vandamme, M., Dangla, P., Pereira, J. M., Ghabezloo, S. AMER SOC CIVIL ENGINEERS. 2017: 571-578
  • Wave propagation and strain localization in a fully saturated softening porous medium under the non-isothermal conditions INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS Na, S., Sun, W. 2016; 40 (10): 1485-1510

    View details for DOI 10.1002/nag.2505

    View details for Web of Science ID 000379949700006

  • A semi-implicit discrete-continuum coupling method for porous media based on the effective stress principle at finite strain COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Wang, K., Sun, W. 2016; 304: 546-583
  • A nonlocal multiscale discrete-continuum model for predicting mechanical behavior of granular materials INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING Liu, Y., Sun, W., Yuan, Z., Fish, J. 2016; 106 (2): 129-160

    View details for DOI 10.1002/nme.5139

    View details for Web of Science ID 000372320500003

  • Micropolar effect on the cataclastic flow and brittle-ductile transition in high-porosity rocks JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH Zheng, Z., Sun, W., Fish, J. 2016; 121 (3): 1425-1440
  • Multiscale analysis of shear failure of thick-walled hollow cylinder in dry sand GEOTECHNIQUE LETTERS Guo, N., Zhao, J., Sun, W. C. 2016; 6 (1): 77-82
  • ALBANY: USING COMPONENT-BASED DESIGN TO DEVELOP A FLEXIBLE, GENERIC MULTIPHYSICS ANALYSIS CODE INTERNATIONAL JOURNAL FOR MULTISCALE COMPUTATIONAL ENGINEERING Salinger, A. G., Bartlett, R. A., Bradley, A. M., Chen, Q., Demeshko, I. P., Gao, X., Hansen, G. A., Mota, A., Muller, R. P., Nielsen, E., Ostien, J. T., Pawlowski, R. P., Perego, M., Phipps, E. T., Sun, W., Tezaur, I. K. 2016; 14 (4): 415-438
  • IDENTIFYING MATERIAL PARAMETERS FOR A MICRO-POLAR PLASTICITY MODEL VIA X-RAY MICRO-COMPUTED TOMOGRAPHIC (CT) IMAGES: LESSONS LEARNED FROM THE CURVE-FITTING EXERCISES INTERNATIONAL JOURNAL FOR MULTISCALE COMPUTATIONAL ENGINEERING Wang, K., Sun, W., Salager, S., Na, S., Khaddour, G. 2016; 14 (4): 389-413
  • PREFACE: COMPUTATIONAL POROMECHANICS INTERNATIONAL JOURNAL FOR MULTISCALE COMPUTATIONAL ENGINEERING Sun, W. 2016; 14 (4): V-VI
  • Determining Material Parameters for Critical State Plasticity Models Based on Multilevel Extended Digital Database JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME Liu, Y., Sun, W., Fish, J. 2016; 83 (1)

    View details for DOI 10.1115/1.4031619

    View details for Web of Science ID 000372156100003

  • A stabilized finite element formulation for monolithic thermo-hydro-mechanical simulations at finite strain INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING Sun, W. 2015; 103 (11): 798-839

    View details for DOI 10.1002/nme.4910

    View details for Web of Science ID 000359351700002

  • Stress-induced anisotropy in granular materials: fabric, stiffness, and permeability ACTA GEOTECHNICA Kuhn, M. R., Sun, W., Wang, Q. 2015; 10 (4): 399-419
  • Modeling the hydro-mechanical responses of strip and circular punch loadings on water-saturated collapsible geomaterials ACTA GEOTECHNICA Sun, W., Chen, Q., Ostien, J. T. 2014; 9 (5): 903-934
  • A multiscale overlapped coupling formulation for large-deformation strain localization COMPUTATIONAL MECHANICS Sun, W., Mota, A. 2014; 54 (3): 803-820
  • Lie-group interpolation and variational recovery for internal variables COMPUTATIONAL MECHANICS Mota, A., Sun, W., Ostien, J. T., Foulk, J. W., Long, K. N. 2013; 52 (6): 1281-1299
  • A stabilized assumed deformation gradient finite element formulation for strongly coupled poromechanical simulations at finite strain INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS Sun, W., Ostien, J. T., Salinger, A. G. 2013; 37 (16): 2755-2788

    View details for DOI 10.1002/nag.2161

    View details for Web of Science ID 000325545800008

  • A multiscale DEM-LBM analysis on permeability evolutions inside a dilatant shear band ACTA GEOTECHNICA Sun, W., Kuhn, M. R., Rudnicki, J. W. 2013; 8 (5): 465-480
  • A unified method to predict diffuse and localized instabilities in sands GEOMECHANICS AND GEOENGINEERING-AN INTERNATIONAL JOURNAL Sun, W. 2013; 8 (2): 65-75
  • Multiscale method for characterization of porous microstructures and their impact on macroscopic effective permeability INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING Sun, W. C., Andrade, J. E., Rudnicki, J. W. 2011; 88 (12): 1260-1279

    View details for DOI 10.1002/nme.3220

    View details for Web of Science ID 000297911400003

  • Connecting microstructural attributes and permeability from 3D tomographic images of in situ shear-enhanced compaction bands using multiscale computations GEOPHYSICAL RESEARCH LETTERS Sun, W., Andrade, J. E., Rudnicki, J. W., Eichhubl, P. 2011; 38
  • DIFFUSE BIFURCATIONS OF POROUS MEDIA UNDER PARTIALLY DRAINED CONDITIONS Sun, W., Andrade, J. E., Borja, R. I. SPRINGER-VERLAG BERLIN. 2011: 61-+
  • Capturing the effective permeability of field compaction band using hybrid lattice Boltzmann/Finite element simulations Sun, W., Andrade, J. E., Khalili, N., Valliappan, S., Li, Q., Russell, A. IOP PUBLISHING LTD. 2010
  • Coseismic sediment deformation during the 1989 Loma Prieta earthquake JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH Borja, R. I., Sun, W. 2008; 113 (B8)
  • Estimating inelastic sediment deformation from local site response simulations ACTA GEOTECHNICA Borja, R. I., Sun, W. C. 2007; 2 (3): 183-195