CODE2 Lab

Publications

Papers

Journal papers, preprints, and refereed conference proceedings.

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Journal Papers

Journal papers and preprints

18 journal papers and preprints

  1. Wang, Z., Chen, Y. P., Dolar, T., Chen, W. "ARCO-BO: Adaptive Resource-aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Design Optimization." Journal of Mechanical Design, 1-17, 2026. Link
  2. Kumbhojkar, G., Wang, Z., Keten, S., Chen, W. "Multi-objective Bayesian Optimization for Design Under Unknown Feasibility Constraints." Journal of Mechanical Design, 1-15, 2026. Link
  3. Wang, Z., Bray, A., Naghavi Khanghah, K., Xu, H. "Designing Connectivity-Guaranteed Porous Metamaterial Units Using Generative Graph Neural Networks." Journal of Mechanical Design, 147(2), 021706, 2025. Link
  4. Naghavi Khanghah, K., Wang, Z., Xu, H. "Reconstruction and Generation of Porous Metamaterial Units via Variational Graph Autoencoder and Large Language Model." Journal of Computing and Information Science in Engineering, 25(2), 021003, 2025. Link
  5. Song, J., Ihuaenyi, R. C., Lim, J., Wang, Z., Li, W., Fang, R., Ghamsari, A. K., Xu, H., et al. "A Microstructural Electrochemo-Mechanical Model of High-Nickel Composite Electrodes Towards Digital Twins to Bridge the Particle and Electrode-Level Characterizations." Energy & Environmental Science, 18(7), 3129-3147, 2025. Link
  6. Efaw, C. M., Wang, Z., Zhang, H., Barnes, P. L., Xu, L., Wang, Y., Olds, D., Kim, S., et al. "Pressure Effects on Lithium Anode/Nickel-Manganese-Cobalt Oxide Cathode Pouch Cells Through Fixture Design." Device, 3(4), 2025. Link
  7. Cleeman, J., Jackson, A., Patel, A., Wang, Z., Feldhausen, T., Shao, C., Xu, H., et al. "Operational Resilience of Additively Manufactured Parts to Stealthy Cyberphysical Attacks Using Geometric and Process Digital Twins." Journal of Manufacturing Systems, 83, 626-651, 2025. Link
  8. Dolar, T., della Ventura, N. M., Mignerot, F., Wang, Z., Howard, H. C., Kassner, C. T., et al. "Accelerating Materials Discovery in Heterogeneous Composition-Property Design Spaces via Collaborative Bayesian Optimization." Materials & Design, 115331, 2025. Link
  9. Xu, L., Wang, Z., Rodgers, T., Liu, D., Tran, A., Xu, H. "Exascale Granular Microstructure Reconstruction in 3D Volumes of Arbitrary Geometries with Generative Learning." Acta Materialia, 289, 120859, 2025. Link
  10. Wang, Z., Chen, Y. P., Dolar, T., Chen, W. "ARCO-BO: Adaptive Resource-aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Design." arXiv preprint arXiv:2510.16652, 2025. Link
  11. Wang, Z., Bhaduri, A., Xu, H., Wang, L. "An Uncertainty-Aware Deep Learning Framework-Based Robust Design Optimization of Metamaterial Units." Structural and Multidisciplinary Optimization, 68(3), 47, 2025. Link
  12. Wang, Z., Xu, H. "Manufacturability-Aware Deep Generative Design of 3D Metamaterial Units for Additive Manufacturing." Structural and Multidisciplinary Optimization, 67(2), 22, 2024. Link
  13. Wang, Z., Xian, W., Li, Y., Xu, H. "Embedding Physical Knowledge in Deep Neural Networks for Predicting the Phonon Dispersion Curves of Cellular Metamaterials." Computational Mechanics, 72(1), 221-239, 2023. Link
  14. Wang, Z., Daeipour, M., Xu, H. "Quantification and Propagation of Aleatoric Uncertainties in Topological Structures." Reliability Engineering & System Safety, 233, 109122, 2023. Link
  15. Wang, Z., Xian, W., Baccouche, M. R., Lanzerath, H., Li, Y., Xu, H. "Design of Phononic Bandgap Metamaterials Based on Gaussian Mixture Beta Variational Autoencoder and Iterative Model Updating." Journal of Mechanical Design, 144(4), 041705, 2022. Link
  16. Xu, L., Hoffman, N., Wang, Z., Xu, H. "Harnessing Structural Stochasticity in the Computational Discovery and Design of Microstructures." Materials & Design, 223, 111223, 2022. Link
  17. Kheybari, M., Wang, Z., Xu, H., Bilal, O. R. "Programmability of Ultrathin Metasurfaces Through Curvature." Extreme Mechanics Letters, 52, 101620, 2022. Link
  18. Wang, Z., Xu, H. "Quantitative Representation of Aleatoric Uncertainties in Network-Like Topological Structural Systems." Journal of Mechanical Design, 143(3), 031713, 2021. Link

Proceedings

Refereed conference proceedings

6 refereed proceedings

  1. Wang, Z., Bray, A., Khanghah, K., Xu, H. "A Generative Graph Neural Network-based Framework for Designing Connectivity-Guaranteed Porous Metamaterial Units." ASME IDETC-CIE, 2024. Link
  2. Naghavi Khanghah, K., Wang, Z., Xu, H. "Generating Porous Metamaterial Designs Using Variational Graph Autoencoder and Large Language Model." ASME IDETC-CIE, 2024. Link
  3. Wang, Z., Zhuang, R., Xian, W., Tian, J., Li, Y., Chen, S., Xu, H. "Phononic Metamaterial Design via Transfer Learning-based Topology Optimization Framework." ASME IDETC-CIE, 2022. Link
  4. Wang, Z., Xian, W., Baccouche, R., Lanzerath, H., Li, Y., Xu, H. "A Gaussian Mixture Variational Autoencoder-Based Approach for Designing Phononic Bandgap Metamaterials." ASME IDETC-CIE, 2021. Link
  5. Wang, Z., Xu, H. "Quantification of Uncertainties Distributed in Network-Like Systems." ASME IDETC-CIE, 2020. Link
  6. Wang, Z., Xu, H., Li, Y. "Material Model Calibration by Deep Learning for Additively Manufactured Alloys." ASME International Symposium on Flexible Automation, 2020. Link

Presentations

Invited talks

2 invited talks

  1. "Material Image Analysis and Learning." ME 5374: Scientific Machine Learning for Mechanical Engineers, Northeastern University, November 22, 2024.
  2. "Quantification of Aleatoric Uncertainties in Topological Structures & Physics-Informed Machine Learning Model for Phononic Property Prediction." Probabilistic Seminar Series, GE Research, September 28, 2022.