Representative Publications

The following is a comprehensive list of all the PSED faculty and presentations.

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Liao, S., Zeng, Q., Ehmann, K. and Cao, J. (2020) “Parameter identification and non-parametric calibration of the Tri-pyramid Robot”, IEEE/ASME Transactions on Mechatronics,

Shuheng Liao, Kornel Ehmann, and Jian Cao “Kinematic Calibration and Data-based Error Compensation of a Parallel Robot-based Incremental Sheet Forming Machine.” International Symposium on Flexible Automation (2020), July 7-9, 2020 (Virtual Conference) sponsored by ASME, Best Paper Award

Ru Yang and Ping Guo. "OF-Net: Deep learning based sub-pixel optical flow estimation with multi-scale convolutional neural network." Manufacturing Science and Engineering Conference (2020).

Cheol Woo Park and Chris Wolverton, "Developing an improved crystal graph convolutional neural network framework for accelerated materials discovery", Physical Review Materials, 4, 063801 (2020).

Ghumman, Sourav, S., Fang, L., Liu, W-K., Wagner, G., and Chen, W., “Microstructure Comparison using Dissimilarity Metric for Additive Manufacturing of Metals”, Proceedings of the ASME 2020 International Symposium on Flexible Automation, IFSA 2020-18650, July 5-9, Chicago, IL.

Tang, S., Li, Y., Qiu, H., Yang, H., Saha, S., Mojumder, S., Liu, W.K. and Guo, X., 2020. MAP123-EP: A mechanistic-based data-driven approach for numerical elastoplastic analysis. Computer Methods in Applied Mechanics and Engineering, 364, p.112955.

Satyajit Mojumder, Jiaying Gao, Wing Kam Liu, Self-consistent Clustering Analysis for Modeling of Thermoelastic Heterogeneous Materials, Proceedings of 13th International Conference on Mechanical Engineering (ICME 2019), BUET, Dhaka, Bangladesh, 18-20 December 2019.

Brinson, L. C., Deagen, M., Chen, W., McCusker, J., McGuinness, D., Schadler, L., Palmeri, M., Ghumman, U., Lin, A., and Hu, B., “Polymer Nanocomposite Data: Curation, Frameworks, Access and Potential for Discovery and Design”, ACS Macro Letters, 9, 1085-1094, 2020,

Chen, G., Shen, Z., Iyer, A., Ghumman, U.F., Tang, S., Bi, J., Chen, W.*, and Li, Y.*, “Machine-Learning-Assisted de novo Design of Organic Molecules and Polymers: Opportunities and Challenges”, Polymers, 12(1), 163;, 2020.

Van Beek, A., Tao, S., Plumbee, M., Apley, D.W., and Chen, W., “Integration of Normative Decision-Making and Batch Sampling for Global Metamodeling”, Journal of Mechanical Design, 142(3), 2020.

Mozaffar, M., Bostanabad, R., Chen, W., Ehmann, K., Cao, J., and Bessa, M.A., “Foundations for Computational Plasticity with Deep Learning”, PNAS, 2019 (

Zhang, Y., Apley, D., and Chen, W., “Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables”, Scientific Report, 10, Article number: 4924, 2020.


Iyer, Y. Zhang, A. Prasad, S. Tao, Y. Wang, L. Schadler, L.C. Brinson and W. Chen (2019) “Data-Centric Mixed-Variable Bayesian Optimization for Material Design”, ASME International Design Engineering Technical Conferences 2019 (accepted). 

J. Munshi, U.F. Ghumman, A. Iyer, R. Dulal, W. Chen, T. Chien, G. Balasubramanian (2019) “Effect of polydispersity on the bulk-heterojunction morphology of P3HT:PCBM solar cells” Journal of Polymer Science Part B: Polymer Physics (accepted).

Y. Wang, D. Puggioni, and J.M.Rondinelli, “Assessing exchange-correlation functional performance in the chalcogenide lacunar spinels GaM4Q8 (M = Mo, V, Nb, Ta; Q = S, Se)”, Phys. Rev. B (submitted), arXiv, (2019).

Y. Wang, N. Wagner, and J.M.Rondinelli, “Symbolic Regression in Materials Science”, MRS Commun. (accecpted), arXiv, (2019).

D. Leem, N. Moser, H. Ren, M. Mozaffar, K. F. Ehmann, and J. Cao, “Improving the accuracy of double-sided incremental forming simulations by considering kinematic hardening and machine compliance,” Procedia Manuf., vol. 29, pp. 88–95, 2019. 

D. Leem, N. Moser, K. F. Ehmann, and J. Cao, “Double-Sided Incremental Forming of Periodic Structures with Free Edges,” Proceedings of 13th International Conference on Numerical methods in industrial forming processes - Numiform'19, New Hampshire, United States, June 24-26, 2019 (accepted).

H. Ren, J. Xie, S. Liao, D. Leem, K. Ehmann, and J. Cao, “In-situ springback compensation in incremental sheet forming,” CIRP Ann, 2019 (in press).

Li, Hengyang, et al. "Clustering discretization methods for generation of material performance databases in machine learning and design optimization." Computational Mechanics(2019): 1-25.

Zhengtao Gan, et al. "Data-driven Microstructure and Microhardness Design in Additive Manufacturing using Self-Organizing Map." Engineering(2019), in press.

Artificial Intelligence Data Driven Model for Adolescent Idiopathic Scoliosis: Analysis, Prediction, and Treatment. Mahsa Tajdari *, Hengyang Li, Wing Kam Liu. The US National Congress on Computational Mechanics (USNCCM) (2019)

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Data Compression in Multiscale Analysis for Composite Materials. Hengyang Li, Jiaying Gao, Cheng Yu, Modesar Shakoor, Wing Kam Liu. 13th World Congress on Computational Mechanics 2nd Pan American Congress on Computational Mechanics (2018)

W-K. Lee, W-B. Jung, D. Rhee, J. Hu, Y-A.L. Lee, C. Jacobson, H-T Jung, and T.W. Odom, Adv. Mater. 30 1706657 (2018). “Monolithic Polymer Nanoridges with Programmable Wetting Transitions” doi: 10.1002/adma.201706657

Li, X., Zhang, Y., Zhao, H., Burkhart, C., Brinson, L.C., Chen, W., “A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions”, Scientific Report, accepted 2018.

Yang, Z., Li, X., Brinson, L.C., Choudhary, A.N., Chen, W., and Agrawal, A., “Microstructural Materials Design via Deep Adversarial Learning Methodology”, Journal of Mechanical Design, Special Issue on Design of Engineered Materials and Structures, doi:10.1115/1.4041371. 2

Hansoge, N., Huang, T., Sinko, R., Xia, W., Chen, W., Keten, S., "Materials by Design for Stiff and Tough Hairy Nanoparticle Assemblies", ACS Nano, accepted June 2018. doi: 10.1021/acsnano.8b02454. 

Bostanabad, R., Liang, B., Gao, J., Liu, W-K., Cao, J., Zeng, D., Su, X., Xu, H., Li, Y., and Chen, W. (2018). “Uncertainty Quantification in Multiscale Simulation of Woven Fiber Composites”. Computational Methods in Applied Mechanics and Engineering , 338(8), 2018.

Bostanabad, R., Zhang, Y., Li, X., Kearney, T., Brinson, L. C., Apley,  D., Wing K., and Chen, W., “Computational Microstructure Characterization and Reconstruction: Review of the State-of-the-art Techniques”, Progress in Materials Science, 95, June 2018.

Chen, Z., Huang, T., Shao, Y., Li, Yang, Xu, H., Avery, K., Zeng, D., Chen, W., and X. Su, "Multiscale Finite Element Modeling of Sheet Molding Compound (SMC) Composite Structure based on Stochastic Mesostructure Reconstruction", Composite Structures, 188, 25–38, 2018.

J. L. Bennett, O. Kafka, H. Liao, S. J. Wolff, C. Yu, P. Cheng, G. Hyatt, K. Ehmann and J. Cao, “Cooling Rate Effect on Tensile Strength for Laser Deposited Inconel 718”, Procedia Manufacturing, 2018.

J. Yan, S. Lin, Y. Bazilevs, G.J. Wagner. “Isogeometric analysis of multi-phase flows with surface tension and with application to dynamics of rising bubbles.” Computers and Fluids, In press, 2018.

J. Yan, W. Yan, S. Lin, G.J. Wagner. “A fully coupled finite element formulation for liquid-solid-gas thermo-fluid flow with melting and solidification.” Comput. Methods Appl. Mech. Engrg., 336: 444-470, 2018.

Y. Lian, S. Lin, W. Yan, W.K. Liu, G.J. Wagner. “A parallelized three-dimensional cellular automaton model for grain growth during additive manufacturing.” Comp. Mech., 61(5):543-558, 2018.

W. Yan, S. Lin, O.L. Kafka, Y. Lian, C. Yu, Z. Liu, J. Yan, S. Wolff, H. Wu, E. Ndip-Agbor, M. Mozaffar, K. Ehmann, J. Cao, G.J. Wagner, W.K. Liu. “Data-driven multi-scale multi-physics models to derive process-structure-property relationships for additive manufacturing.” Comp. Mech., 61(5):521-541, 2018.

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J. Hu, X. Ren, A.N. Reed, T. Reese, D. Rhee, B. Howe, L.J. Lauhon, A.M. Urbas, and T.W. Odom, ACS Photonics 4, 606-612 (2017). “Evolutionary Design and Prototyping of Single Crystalline Titanium Nitride Lattice Optics” doi: 10.1021/acsphotonics.6b00955

Bostanabad, R., Kearney, T., Tao, S., Apley, Daniel W., and Chen, W. (2018). Leveraging the Nugget Parameter for Efficient Gaussian Process Modeling. International Journal for Numerical Methods in Engineering, December 2017, doi:10.1002/nme.5751.

Gao J, Liang B, Zhang W, Liu Z, Cheng P, Bostanabad R, Cao J, Chen W, Liu Wk, Su X, Zeng D. Multiscale Modeling of Carbon Fiber Reinforced Polymer (CFRP) for Integrated Computational Materials Engineering Process. In Proceedings of the American Society for Composites—Thirty-second Technical Conference 2017.

Lee, W-K, Yu, S., Engel, C.J., Reese, T., Rhee, D., Chen, W., and Odom, T.W., "Concurrent Design of Quasi-Random Photonic Nanostructures", PNAS, doi: 10.1073/pnas.1704711114, July 2017.

Bessaa, M.A., Bostanabad, R.,Liu, Z., Apley, D.W., Brinson, C., Chen, W., and Liu, W-K, “A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality”, Computer Methods in Applied Mechanics and Engineering, 320, 633-667, 2017.

Paul Adler, Rudolf Frei, Michael Kimiecik, Paul Briant, Brad James, Chuan Liu, Effect of Tube Processing on the Fatigue Life of Nitinol, Proceedings of the International Conference on Shape Memory and Superelastic Technologies. May, 2017.

Deng, J. and Chen, W., “Concurrent Topology Optimization of Multiscale Structures with Multiple Porous Materials under Random Field Loading Uncertainty”, Structural and Multidisciplinary Optimization, 2017.

Yu., S., Wang, C., Zhang, Y., Dong, B., Jiang, Z., Chen, X., Chen, W., and Sun, C., “Design of Non-Deterministic Quasi-random Nanophotonic Structures Using Fourier Space Representations”, Scientific Report, 7, Article number: 3752, (2017).

Lin, S., Smith, J., Liu, W. K., and Wagner, G. J., 2017, "An Energetically Consistent Concurrent Multiscale Method For Heterogeneous Heat Transfer and Phase Transition Applications," Comput. Methods Appl. Mech. Engrg, 100–120, 2017.

W. Yan, W. Ge, Y. Qian, S. Lin, B. Zhou, W.K. Liu, F. Lin, G.J. Wagner. “Multi-physics modeling of single/multiple-track defect mechanisms in electron beam selective melting.” Acta Mater., 134 (2017) 324-333.

S.J. Wolff, S. Lin, E.J. Faierson, W.K. Liu, G.J. Wagner, J. Cao. “A framework to link localized cooling and properties of directed energy deposition (DED)-processed Ti-6Al-4V.” Acta Mater., 132 (2017) 106-117.

Bennett, J.L.*, Wolff, S.J.*, Hyatt, G., Ehmann, K., and J. Cao, (2017) “Thermal effect on clad dimension for laser deposited Inconel 718”, Journal of Manufacturing Processes, Vol. 28(3), pp. 550-557,

Lee, T.Y., Magargee, J., Ng, M.K. and Cao, J. (2017) “Constitutive analysis of electrically-assisted tensile deformation of CP-Ti based on non-uniform thermal expansion, plastic softening and dynamic strain aging”, Int. J. Plasticity, Vol. 94, pp.44-56,

Zhang, W., Ren, H., Liang, B., Zeng, D., Su, X., Dahl, J., Mirdamadi, M., Zhao, Q., and Cao, J. (2017) “A non-orthogonal material model of woven composites in the preforming process”, CIRP Annals, Vol. 66(1), 257–260,

R. Liu, Y. C. Yabansu, Z. Yang, A. N. Choudhary, S. R. Kalidindi, and A. Agrawal, “Context Aware Machine Learning Approaches for Modeling Elastic Localization in Three-Dimensional Composite Microstructures,” Integrating Materials and Manufacturing Innovation, pp. 1–12, 2017.

L. Ward, R. Liu, A. Krishna, V. I. Hegde, A. Agrawal, A. Choudhary, and C. Wolverton, “Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations,” Physical Review B, vol. 96, no. 2, p. 024104, 2017.

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Deng, J. and Chen, W., “Design for Structural Flexibility using Connected Morphable Components based Topology Optimization”, Special issue on structural topology optimization.  Science China Technological Sciences, 59 (6), June 2016.

A. Agrawal and A. Choudhary, “Perspective: Materials informatics and big data: Realization of the ‘fourth paradigm’ of science in materials science,” APL Materials, vol. 4, no. 053208, pp. 1–10, 2016.

Zhao, H., Li, X., Zhang, Yi., Schadler L.S., Chen, W., and Brinson, C., “NanoMine: A Material Genome Approach for Polymer Nanocomposites Analysis and Design”, APL Materials, 4, 053204, 2016.

Bostanabad, R., Chen, W., Apley, D., “Characterization and Reconstruction of 3D Stochastic Microstructures via Supervised Learning”, Journal of Microscopy, DOI: 10.1111/jmi.1244, published online, June 2016.

Hassinger, I., Li, X., Zhao, H., Xu, H., Li, Y., Krentz, T., Huang, Y., Schadler, L., Chen, W., and I., Brinson,  “Towards the Development of a Quantitative Tool for Predicting Dispersion of Nanocomposites Under Non-Equilibrium Processing Conditions", Journal of Materials Science, 51(9), 2016.

Y Li, S Tang, M Kröger, WK. Liu. “Molecular simulation guided constitutive modeling on finite strain viscoelasticity of elastomers,” Journal of the Mechanics and Physics of Solids, 2016, 88:204–226.

Moore, JA., Frankel, D., Prasannavenkatesan, R., Domel, AG., Olson, GB., Liu, WK., “A crystal plasticity-based study of the relationship between microstructure and ultra-high-cycle fatigue life in nicket titanium alloys,” International Journal of Fatigue, 91, (2016), 183-194.

J. Smith, W. Xiong, W. Yan, S. Lin, P. Cheng, OL. Kafka, GJ. Wagner, J. Cao, WK. Liu, “Linking Process, Structure, Property, and Performance for Metal-based Additive Manufacturing: Computational Approaches with Experimental Support,” Computational Mechanics, (2016) 57:583–610 DOI 10.1007/s00466-015-1240-4.

J. Smith, W. Xiong, J. Cao, and WK Liu, “Thermodynamically Consistent Microstructure Prediction of Additively Manufactured Materials,” Computational Mechanics, Comput Mech (2016) 57:359–370, DOI 10.1007/s00466-015-1243-1.

Rodrigo P. Tavares,  Antonio R. Melro,  Miguel A. Bessa,  Albert Turon,  Wing K. Liu,  Pedro P. Camanho, “Mechanics of hybrid polymer composites: analytical and computational study,” Computational Mechanics, 57:405–421, 2016.

O. Goury, D. Amsallem, SP. Bordas, WK. Liu, P. Kerfriden, “Automatised selection of load paths to construct reduced-order models in computational damage micromechanics: from dissipation-driven random selection to Bayesian optimization,” Comput Mech (2016) 213–234

Zeliang Liu, M.A. Bessa, Wing Kam Liu, “Self-consistent clustering analysis: An efficient multi-scale scheme for inelastic heterogeneous materials,” Comput. Methods Appl. Mech. Engrg. 306 (2016) 319–341.

Zeliang Liu, John A Moore, Wing Kam Liu, “An Extended Micromechanics Method for Probing Interphase Properties in Polymer Nanocomposites,” Journal of the Mechanics and Physics of Solids, 2016, doi:10.1016/j.jmps.2016.05.002.

Wentao Yan, Wenjun Ge, Jacob Smith, Stephen Lin, Orion L Kafka, Feng Lin, Wing Kam Liu, “Multi-scale Modeling of Electron Beam Melting of Functionally Graded Materials,” Acta Materialia, 2016.

Yanping Lian, Yuping Ying, Shaoqiang Tang, Stephen Lin, Gregory Wagner, Wing Kam Liu, “A Petrov-Galerkin finite element method for the fractional advection-diffusion equation,” Comput. Methods Appl. Mech. Engrg, 309, (2016), 388-410.

Bai, X., Bessa, M.A., Melro, A.R., Camanho, P.P., Guo, L., Liu, W.K., Corrigendum to "High-fidelity micro-scale modeling of the thermo-visco-plastic behavior of carbon fiber polymer matrix composites", Composite Structures (2016),

Shaoqiang Tang, Yuping Ying, Yanping Lian, Stephen Lin, Yibo Yang, Gregory J. Wagner, Wing Kam Liu. Differential operator multiplication method for fractional differential equations. Computational Mechanics.  (2016) doi:10.1007/s00466-016-1320-0.

Lin, S., Smith, J., Liu, W. K., and Wagner, G. J., 2016, "An Energetically Consistent Concurrent Multiscale Method for Heterogeneous Heat Transfer and Phase Transition Applications;" Computer Methods in Applied Mechanics and Engineering, Comput. Methods Appl. Mech. Engrg. 315 (2017) 100–120.

Ng, M.K., Saxena, I., Ehmann, K.F. and Cao, J. (2016) “Improving surface hydrophobic performance by micro-rolling based-texturing”, J. of Micro- and Nano-manufacturing, Vol. 4, 031001 (8 pages), DOI: 10.1115/1.4033680.

Moser, N., Pritchet, D., Ren, H.Q., Ehmann, K.F. and Cao, J. (2016) “An efficient and general finite element model for double-sided incremental forming”, ASME J. of Manufacturing Science and Engineering, Vol. 138, September, 091007 (10 pages), doi:10.1115/1.4033483.

Wolff, S., Lee, T., Faierson, E., Ehmann, K. and Cao, J. (2016) “Anisotropic Properties of Directed Energy Deposition (DED)-Processed Ti-6Al-4V”, Vol. 24(2), pp.397-405,

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Xiaoming Bai, Miguel A. Bessa, António R. Melro, Pedro P. Camanho, Licheng Guo, Wing K. Liu, “High-fidelity micro-scale modeling of the thermo-visco-plastic behavior of carbon fiber polymer matrix composites,” Composite Structures, Volume 134, 15 December 2015, Pages 132–14.

Xiaoming Bai, Miguel A. Bessa, António R. Melro, Pedro P. Camanho, Licheng Guo, Wing K. Liu, “High-fidelity micro-scale modeling of the thermo-visco-plastic behavior of carbon fiber polymer matrix composites,” Composite Structures, Volume 134, 15 December 2015, Pages 132–14.

Brendan C. Abberton, Wing Kam Liu, and Sinan Keten, “Anisotropy of Shear Relaxation in Confined Thin Films of Unentangled Polymer Melts,” Macromolecules, 2015, 48 (20), pp 7631–7639, DOI: 10.1021/acs.macromol.5b0120.

Ren, Huaqing, Newell Moser, Zixuan Zhang, Ebot Ndip-Agbor, Jacob Smith, Kornel Ehmann, and Jian Cao. "Effects of Tool Positions in Accumulated Double-Sided Incremental Forming on Part Geometry." Journal of Manufacturing Science and Engineering, 2015.

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Xu, H., Liu, R., Choudhary, A., and Chen, W., “A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures”, ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC2014-34570, August 17-20, Buffalo, New York, 2014.

Ng, M.K., Fan, Z., Gao, R.X., Smith, E.F.III and Cao, J., “Characterization of electrically-assisted micro-rolling for surface texturing using embedded sensor”, CIRP Annals- Manufacturing Technology, 2014.

Ng, M.K., Saxena, I., Ehmann, K.F. and Cao, J., “Improving surface hydrophobic performance by micro-rolling based-texturing”, Proceedings of International Conference on Micro-Manufacturing, 2014, Singapore.

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Evan Baker, Katherine Rorschach, Cheng Sun, and Wei Chen, “Design Optimization of Vibration Energy Harvesting Microstructures.” 10th World Congress on Structural and Multidisciplinary Optimization, May 23, 2013.

Chen Wang, Shuangcheng Yu, Wei Chen, Cheng Sun, “ Highly Efficient Light-Trapping Structure Design Inspired By Natural Evolution”, Scientific Reports, 3, (2013), 1025.

Shuangcheng Yu, Chen Wang, Cheng Sun, Wei Chen, “Highly Efficient Light-trapping Structure Design Driven by Topology Optimization for Thin-film Solar Cells”, 10th World Congress on Structural and Multidisciplinary Optimization, May 19 -24, 2013, Orlando, FL.

Chen Wang, ShuangchengYu, Wei Chen, Cheng Sun, “Natural Evolution Inspired Design of Light Trapping Structure for Thin Film Organic Solar Cells”, SPIE Optics & Photonics, Solar Energy & Technology, August 25-29, 2013, San Diego, CA.

C. Bewerse, K.R. Gall, G.J. McFarland, P. Zhu, L.C. Brinson, “Local and global strains and, strain ratios in shape memory alloys using digital image correlation”, Materials Science and Engineering A, 2013. (Accepted)

Influence of functionalized carbon nanofibers on the interface of single carbon fibers embedded in an epoxy matrix. Composites Part B: Engineering, In Press, Accepted Manuscript, Available online 12 June 2013, Joseph D. Schaefer, Mauricio E. Guzman, Chee-Sern Lim, Alejandro J. Rodriguez, Bob Minaie (collaboration w/ Wichita State University) Fabrication and properties of dense thin films containing functionalized carbon nanofibers.

Thin Solid Films, Volume 534, 1 May 2013, Pages 111-115 Chee-Sern Lim, Mauricio Guzman, Joseph Schaefer, Bob Minaie (collaboration w/ Wichita State University)

Chee-Sern Lim, M. Guzman, Bob Minaie, Joining glass fiber layers using a functionalized carbon nanofibers entangled network, Carbon, 2012 (In Press, (collaboration with Wichita State University)

Schaefer, J.D., I.M. Daniel, Evaluating Rate Dependence of Structural Epoxy Composites in Regards to Failure Prediction, Society for Experimental Mechanics (Journal), in process

Schaefer, J.D., B. T. Werner, I.M. Daniel, Strain rate effects on failure of a toughened matrix composite, 2013 SEM Annual Conference and Exposition on Experimental and Applied Mechanics, Lombard, IL June 3-6

Werner, B.T., J.D. Schaefer, I.M. Daniel, Effect of ply dispersion on failure characteristics of multidirectional composite laminates, 2013 SEM Annual Conference and Exposition on Experimental and Applied Mechanics, Lombard, IL June 3-6

Werner, B.T., J.D. Schaefer, I.M. Daniel, Deformation and failure of angle-ply composite laminates, 2013 SEM Annual Conference and Exposition on Experimental and Applied Mechanics, Lombard, IL June 3-6

Schaefer, J.D., Strain rate effects on failure of a toughened matrix composite – proposed modeling and practical implementation, SEM Annual Conference and Exposition on Experimental and Applied Mechanics, Lombard, IL June 3-6

Smith, J., Malhotra, R., Liu, W. K, Cao, J., “Deformation mechanics of single-point and accumulative double-sided incremental forming,” IJAMT – In press, 2013.

Smith, J., “Advances in modern engineering: the future of the art,” Midwestern State University, Wichita Falls, Tx., February 20, 2013.

Bessa, M.A., Zhao, J., Belytschko, T.. “Concurrent multiresolution/XFEM analysis of composites”. Advances in Computational Mechanics (ACM 2013) conference, San Diego, CA, February 26.

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Baker, E., et al., Microstereolithography of Three-Dimensional Polymeric Springs for Vibration Energy Harvesting. Smart Materials Research, 2012.

Evan Baker, 'Material Property Manipulation of Photopolymer Vibration Energy Harvesters', in ASME 2012 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (Chicago, IL, USA: 2012).

Chen Wang, ShuangchengYu, Wei Chen, Cheng Sun, “Topology Optimization Driven Design of Highly Efficient Light-trapping Structure”, Material Research Society (MRS) Fall Meeting, Nov 25-30, 2012, Boston, MA.

Liu, Y., Greene, M.S., Chen, W., Dikin, D., Liu, W.K., “Computational Microstructure Characterization and Reconstruction for Stochastic Multiscale Design”, Computer Aided Design, accepted March 2012.

Deng, H., Liu, Y., Gai, D. Dikin, D., Putz, K., Chen, W., Brinson, L.C., “Utilizing Real and Statistically Reconstructed Microstructures for the Viscoelastic Modeling of Polymer Nanocomposites”, Composite Science and Technology, accepted March 2012.

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Greene M.S., Liu, Y., Chen, W., Liu, W.K., “Computational Uncertainty Analysis in Multiresolution Materials via Stochastic Constitutive Theory”, Journal of Computer Methods in Applied Mechanics and Engineering, 200, 309-325, January 2011.

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Lyandres, O., Van Duyne, R.P., Walsh, J.T., Glucksberg, M.R., Mehrotra, S., “Prediction range estimation from noisy Raman spectra with robust optimization” Analyst, 135, 2111-2118, 2010.

Liu, W.K., Qian, D., Gonella, S., Li, S., Chen, W., and Chirputkar, S., “Multiscale Methods for Mechanical Science of Complex Materials: Bridging from Quantum to Stochastic Multiresolution Continuum”, International Journal for Numerical Methods in Engineering, 83:1039–1080, May 2010.

Chen, W., Yin, X., Lee, S., and Liu, W. K., “A Multiscale Design Methodology for Designing Hierarchical Multiscale Systems Considering Random Field Uncertainty”, ASME Journal of Mechanical Design, 132, DOI: 041006, April 2010.

Arendt, P.D., Chen, W., and Apley, D., “Updating Predictive Models: Calibration, Bias correction and Identifiability”, Proceedings of the ASME 2010 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, DETC2010-28828, August 15-August 18, Montreal Quebec, Canada, 2010.

Yu, L., Chen, W., Arendt, P., and Huang, H-Z., “Towards A Better Understanding of Model Validation Metrics”, 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference, Fort Worth, TX., September 12-15, 2010.

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Xiong, Y., Chen, W., Tsui, K-L., and Apley, D., “A Better Understanding of Model Updating Strategies in Validating Engineering Models”, Journal of Computer Methods in Applied Mechanics and Engineering, 198 (15-16), pp. 1327-1337, March 2009.

Wang, S., Tsui, K-L., and Chen, W., “Bayesian Validation of Computer Models”, Technometrics, November 1, 51(4): 439-451, 2009.

Duren, T., Bae, Y-S., Snurr, R., “ Using Molecular Simulation to Characterise Metal–Organic Frameworks for Adsorption Applications, Chemical Society Reviews, DOI: 10.1039/b803498m, 2009.

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To, A. C., Liu, W. K., Olson, G. B., Belytschko, T., Chen W., Shephard, M., Chung, Y.-W., Ghanem, R., Voorhees, P., Seidman, D. N., Wolverton, C., Chen, J. S., Moran, B., Freeman, A. J., Tian, R., Luo, X., Lautenschlager, E., and Challoner, D., "Materials Integrity in Microsystems: A Framework for a Petascale Predictive-Science based Multiscale Modeling and Simulation System," Computational Mechanics, 42(4), 485-501, September 2008.

McDowell, D. L., and Olson, G. B., "Concurrent Design of Hierarchical Materials and Structures," Journal of Scientific Modeling and Simulation, 15(1-3), 207-240, 2008.

Chen, W., Xiong, Y., Tsui, K-L., and Wang, S., “A Design-Driven Validation Approach using Bayesian Prediction Models”, ASME Journal of Mechanical Design, 130(2), 2008.

Yin, X., Chen, W, To, A., McVeigh, C., and Liu, W-K, “A Statistical Volume Element Method for Predicting Microstructure Constitutive Relations”, Computer Methods in Applied Mechanics and Engineering, 197(43-44), 3516-3529, 2008.

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Liu, W.K., et al, “Immersed Finite Element Method and its Applications to Biological Systems”, Comput Methods Appl Mech Eng. 195(13-16): 1722–1749., 2006.

Apley, D., Liu, J., and Chen, W., “Understanding the Effects of Model Uncertainty in Robust Design with Computer Experiments”, ASME Journal of Mechanical Design, 128(4), 945-958, Jul 2006.

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Chen, W., Baghdasaryan, L., Buranathiti, T., and Cao, J., “Model Validation via Uncertainty Propagation and Data Transformations”,  AIAA Journal, 42(7), 1406-1415, Jul 2004.

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Olson, G., “Computational Design of Hierarchically Structured Materials”, Science, 277, 1237-1242, 1997.