Publications | Dazhi Zhao

You can also find my articles on my Google Scholar profile.

2026

D. Zhao, Y. Xiang, P. Zhang, N. Liu, X. Wang, K. Tang

Autoregressive Inverse Design of Disordered Metamaterials for Target Nonlinear Response

Thin-Walled Structures, 225, 114793 (2026).

@article{zhao2026autoregressive,
  title = {{Autoregressive Inverse Design of Disordered Metamaterials for Target Nonlinear Response}},
  author = {Zhao, D. and Xiang, Y. and Zhang, P. and Liu, N. and Wang, X. and Tang, K.},
  year = {2026},
  month = jun,
  journal = {Thin-Walled Structures},
  doi = {10.1016/j.tws.2026.114793},
  volume = {225},
  pages = {114793}
}

D. Zhao^†, Y. Liu^†, Y. Xiang, P. Zhang, X. Wang, K. Tang

Material-Aware Rapid Prediction of Low-Velocity Impact Damage in Laminated Composites via Surrogate Modeling

International Journal of Damage Mechanics (2026).

† Equal contribution.

DOI BIB PDF

@article{zhao2026impact,
  title = {{Material-Aware Rapid Prediction of Low-Velocity Impact Damage in Laminated Composites via Surrogate Modeling}},
  author = {Zhao, D. and Liu, Y. and Xiang, Y. and Zhang, P. and Wang, X. and Tang, K.},
  journal = {International Journal of Damage Mechanics},
  year = {2026},
  month = aug,
  doi = {10.1177/10567895261481684},
}

Z. Xie, W. Xu, D. Zhao, W. Zhang, D. Dong, B. Xu, N. Liu, S. Mao, T. Xue

Physics-Guided Diffusion Models for Inverse Design of Disordered Metamaterials

npj Computational Materials (2026).

DOI BIB PDF

@article{xie2026diffusion,
  title = {{Physics-Guided Diffusion Models for Inverse Design of Disordered Metamaterials}},
  author = {Xie, Z. and Xu, W. and Zhao, D. and Zhang, W. and Dong, D. and Xu, B. and Liu, N. and Mao, S. and Xue, T.},
  year = {2026},
  month = sep,
  journal = {npj Computational Materials},
  doi = {10.1038/s41524-026-02328-y},
}

R. Zhang, D. Zhao, P. Zhang, K. Tang

Physics-Constrained Neural Networks for High-Fidelity Composite Failure Envelopes

Composite Structures, 388, 120358 (2026).

DOI BIB PDF

@article{zhang2026failure,
  title = {{Physics-Constrained Neural Networks for High-Fidelity Composite Failure Envelopes}},
  author = {Zhang, R. and Zhao, D. and Zhang, P. and Tang, K.},
  year = {2026},
  month = may,
  journal = {Composite Structures},
  volume = {388},
  doi = {10.1016/j.compstruct.2026.120358},
  pages = {120358}
}

H. Jin, D. Zhao, Y. Xiang, P. Zhang, X. Chen, K. Tang, X. Wang

Generative Inverse Design of Bioinspired Disordered Metamaterials for Strength-Toughness Synergy

International Journal of Mechanical Sciences, 327, 111961 (2026).

DOI BIB PDF

@article{jin2026generative,
  title = {{Generative Inverse Design of Bioinspired Disordered Metamaterials for Strength-Toughness Synergy}},
  author = {Jin, H. and Zhao, D. and Xiang, Y. and Zhang, P. and Chen, X. and Tang, K. and Wang, X.},
  journal = {International Journal of Mechanical Sciences},
  year = {2026},
  month = oct,
  doi = {10.1016/j.ijmecsci.2026.111961},
  volume = {327},
  pages = {111961}
}

P. Zhang, D. Zhao, K. Tang

From Brittle Fracture to Elastoplastic Fatigue: An Open-Source Phase Field Framework in Julia

Advances in Engineering Software, 220, 104222 (2026).

DOI BIB PDF

@article{zhang2026phasefield,
  title = {{From Brittle Fracture to Elastoplastic Fatigue: An Open-Source Phase Field Framework in Julia}},
  author = {Zhang, P. and Zhao, D. and Tang, K.},
  journal = {Advances in Engineering Software},
  year = {2026},
  month = sep,
  doi = {10.1016/j.advengsoft.2026.104222},
  volume = {220},
  pages = {104222}
}