2025
Areias, P., Silvestre, N., & Zhuang, X. (2025). A trust region algorithm for finite-strain plasticity with strongly coupled hardening. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 239(7), 1306-1322. https://doi.org/10.1177/14644207241289599
Bai, J., Wang, Y., Jeong, H., Chu, S., Wang, Q., Alzubaidi, L., Zhuang, X., Rabczuk, T., Xie, Y. M., Feng, X. Q., & Gu, Y. (2025). Towards the future of physics- and data-guided AI frameworks in computational mechanics. Acta Mechanica Sinica/Lixue Xuebao, 41(7), Article 225340. https://doi.org/10.1007/s10409-025-25340-x
Cai, M., Rabczuk, T., & Zhuang, X. (2025). Experimental study on ECC-based unreinforced shield tunnel segmental joints for future resilient infrastructure. Underground Space (new), 24, 283-310. https://doi.org/10.1016/j.undsp.2024.09.009
Cai, M., Liu, Y., Zhu, H., Rabczuk, T., Zhou, S., & Zhuang, X. (2025). Machine learning to estimate the tensile strength of cementitious composites. Structures, 80, Article 110032. https://doi.org/10.1016/j.istruc.2025.110032
Cai, M., Zhu, H., Rabczuk, T., & Zhuang, X. (2025). Mixer influence on pore characteristics and fiber dispersion in Engineered Cementitious Composites across various strength grades. Construction and Building Materials, 467, Article 140380. https://doi.org/10.1016/j.conbuildmat.2025.140380
Cai, R., Jin, Y., Pennec, Y., Rabczuk, T., Zhuang, X., & Djafari-Rouhani, B. (2025). Topological phase transitions of non-Hermitian periodic and disordered elastic systems. International Journal of Mechanical Sciences, 294, Article 110241. https://doi.org/10.1016/j.ijmecsci.2025.110241
Chu, W., Fu, Z., Nanthakumar, S. S., Xu, W., & Zhuang, X. (2025). Intelligent inverse design of phononic crystals based on machine learning coupled with localized collocation meshless method. International Journal of Mechanics and Materials in Design, 21(3), 547-576. https://doi.org/10.1007/s10999-025-09749-5
Eshaghi, M. S., Bamdad, M., Anitescu, C., Wang, Y., Zhuang, X., & Rabczuk, T. (2025). Applications of scientific machine learning for the analysis of functionally graded porous beams. NEUROCOMPUTING, 619, Article 129119. https://doi.org/10.48550/arXiv.2408.02698, https://doi.org/10.1016/j.neucom.2024.129119
Eshaghi, M. S., Anitescu, C., Thombre, M., Wang, Y., Zhuang, X., & Rabczuk, T. (2025). Variational Physics-informed Neural Operator (VINO) for solving partial differential equations. Computer Methods in Applied Mechanics and Engineering, 437, Article 117785. https://doi.org/10.1016/j.cma.2025.117785, https://doi.org/10.48550/arXiv.2411.06587
Firouzi, N., Kamil Żur, K., Rabczuk, T., & Zhuang, X. (2025). Generalized reconfigurations and growth mechanics of biological structures considering regular and irregular features: A computational study. Computers and Structures, 315, Article 107781. https://doi.org/10.1016/j.compstruc.2025.107781
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