Zhenlin Wang

In review:

[J10] Z. Wang, B. Martin, J. Weickenmeier, K. Garikipati, "An inverse modelling study for the local volume changes during early growth of the fetal human brain", 2020, [BioRiv]

[J9] Z. Wang, J.B. Estrada, E.M. Arruda, K. Garikipati, "Discovery of deformation mechanisms and constitutive response of soft material surrogates of biological tissue by full-field characterization and data-driven variational system identification ", 2020, [BioRiv]

[J8] Z. Wang, X. Huan, K. Garikipati, "Variational system identification of the partial differential equations governing microstructure evolution in materials: Inference over sparse and spatially unrelated data", 2020, [arXiv]

In print:

[J7] Z. Wang, X. Zhang, G.H. Teichert, M. Carrasco-Teja, K. Garikipati, "System inference for the spatio-temporal evolution of infectious diseases: Michigan in the time of COVID-19", Computational Mechanics, 2020 [journal]

[J6] Z. Wang, B. Wu, K. Garikipati, X. Huan, "A Perspective on Regression and Bayesian Approaches for System Identification of Pattern Formation Dynamics", Theoretical and Applied Mechanics Letters, Vol 10(3), 188-194, 2020, [journal][arXiv]

[J5] Z. Wang, X. Huan, K. Garikipati, "Variational system identification of the partial differential equations governing pattern-forming physics: Inference under varying fidelity and noise", Computer Methods in Applied Mechanics and Engineering, Vol 353, 201-216, 2019, doi.org/10.1016/j.cma.2019.05.019, [journal] [arXiv]

[J4] Z. Wang and K. Garikipati, “A multi-physics battery model with particle scale resolution of evolving porosity and electrolyte flow”, Journal of the Electrochemical Society, Vol. 165: A2421-A438, 2018, doi:10.1149/2.0141811jes [journal] [arXiv]

[J3] L. K. Aagesen, J. F. Adams, J. E. Allison, W. B. Andrews, V. Araullo-Peters, T. Berman, Z. Chen, S. Daly, S. Das, S. DeWitt, S. Ganesan, K. Garikipati, V. Gavini, A. Githens, M. Hedstrom, Z. Huang, H. V. Jagadish, J. W. Jones, J. Luce, E. A. Marquis, A. Misra, D. Montiel, P. Motamarri, A. D. Murphy, A. R. Natarajan, S. Panwar, B. Puchala, L. Qi, S. Rudraraju, K. Sagiyama, E. L. S. Solomon, V. Sundararaghavan, G. Tarcea, G. H. Teichert, J. C. Thomas, K. Thornton, A. Van der Ven, Zhenlin Wang, Terry Weymouth, Chaoming Yang, "PRISMS - An Integrated, Open Source Framework for Accelerating Predictive Structural Materials Science", Journal of Materials, 2018, doi.org/10.1007/s11837-018-3079-6 [journal]

[J2] Z. Wang, J. Siegel, K. Garikipati, "Intercalation driven porosity effects in coupled continuum models for the electrical, chemical, thermal and mechanical response of battery electrode materials", Journal of the Electrochemical Society, Vol. 164: A2199-A2212, 2017, doi:10.1149/2.0081712jes [journal] [arXiv]

[J1] Z. Wang, S. Rudraraju, K. Garikipati, "A three dimensional field formulation, and isogeometric solutions to point and line defects using Toupin's theory of gradient elasticity at finite strains'', Journal of the Mechanics and Physics of Solids, Vol. 94: 336-361, 2016, doi:10.1016/j.jmps.2016.03.028 [journal] [arXiv]-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_--_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-

[C1] Jigang Xu, Shiming Dong, Zhenlin Wang, "Theoretical Analysis of Effects of Confining Pressure on the Stress Intensity Factors for Cracked Brazilian Disk", 13th International Conference on Fracture, June 16–21, 2013, Beijing, China. <pdf>

• Z. Wang, X. Huan, K. Garikipati, "Variational System Identification of the Partial Differential Equations Governing Pattern-forming Physics: Inference under Varying Fidelity and Noise", 15th U.S. Congress on Computational Mechanics, Austin, Texas, July 28-August 1, 2019.

• Z. Wang, X. Huan, K. Garikipati, System identification of the partial differential equations governing pattern-forming physics, 16th Pan-American Congress of Applied Mechanics, Ann Arbor, 2019.

• Z. Wang, K. Garikipati, "Machine learning materials physics: hierarchical multiscale modeling of porous battery materials by neural networks", 13th World Congress in Computational Mechanics, New York City, 2018

• Z. Wang, J. Siegel, K. Garikipati, "Intercalation driven porosity effects in coupled continuum models for the electrical, chemical, thermal and mechanical response of battery electrode materials", 14th U.S. Congress on Computational Mechanics Conference, 2017, Montréal, QC, Canada

• Z. Wang, S. Rudraraju & K. Garikipati, “A 3D field formulation, and isogeometric solutions to point and line defect cores using Toupin’s theory of gradient elasticity at finite strains”, 13th U.S. Congress on Computational Mechanics Conference, July 2015, San Diego, California. <pdf>